Searching for biological systems : 25 results found | RSS Feed for this search

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6.050J Information and Entropy (MIT) 6.050J Information and Entropy (MIT)

Description

6.050J / 2.110J presents the unified theory of information with applications to computing, communications, thermodynamics, and other sciences. It covers digital signals and streams, codes, compression, noise, and probability, reversible and irreversible operations, information in biological systems, channel capacity, maximum-entropy formalism, thermodynamic equilibrium, temperature, the Second Law of Thermodynamics, and quantum computation. Designed for MIT freshmen as an elective, this course has been jointly developed by MIT's Departments of Electrical Engineering and Computer Science and Mechanical Engineering. There is no known course similar to 6.050J / 2.110J offered at any other university.  6.050J / 2.110J presents the unified theory of information with applications to computing, communications, thermodynamics, and other sciences. It covers digital signals and streams, codes, compression, noise, and probability, reversible and irreversible operations, information in biological systems, channel capacity, maximum-entropy formalism, thermodynamic equilibrium, temperature, the Second Law of Thermodynamics, and quantum computation. Designed for MIT freshmen as an elective, this course has been jointly developed by MIT's Departments of Electrical Engineering and Computer Science and Mechanical Engineering. There is no known course similar to 6.050J / 2.110J offered at any other university. 

Subjects

information and entropy | information and entropy | computing | computing | communications | communications | thermodynamics | thermodynamics | digital signals and streams | digital signals and streams | codes | codes | compression | compression | noise | noise | probability | probability | reversible operations | reversible operations | irreversible operations | irreversible operations | information in biological systems | information in biological systems | channel capacity | channel capacity | aximum-entropy formalism | aximum-entropy formalism | thermodynamic equilibrium | thermodynamic equilibrium | temperature | temperature | second law of thermodynamics quantum computation | second law of thermodynamics quantum computation | maximum-entropy formalism | maximum-entropy formalism | second law of thermodynamics | second law of thermodynamics | quantum computation | quantum computation | biological systems | biological systems | unified theory of information | unified theory of information | digital signals | digital signals | digital streams | digital streams | bits | bits | errors | errors | processes | processes | inference | inference | maximum entropy | maximum entropy | physical systems | physical systems | energy | energy | quantum information | quantum information | 6.050 | 6.050 | 2.110 | 2.110

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9.373 Somatosensory and Motor Systems (MIT) 9.373 Somatosensory and Motor Systems (MIT)

Description

General principles of motor control in biological systems. Structure and function of sensory receptors. Muscle structure and reflex arcs. Spinal cord. Locomotion. Oculomotor control. Cerebellar structure and function. Motor thalamus. Basal ganglia. Somatosensory cortex: maps and neuronal properties. Cortical plasticity. Motor psychophysics and computational approaches to motor control, and motor planning. General principles of motor control in biological systems. Structure and function of sensory receptors. Muscle structure and reflex arcs. Spinal cord. Locomotion. Oculomotor control. Cerebellar structure and function. Motor thalamus. Basal ganglia. Somatosensory cortex: maps and neuronal properties. Cortical plasticity. Motor psychophysics and computational approaches to motor control, and motor planning.

Subjects

locomotion | locomotion | motor control | motor control | biological systems | biological systems | Structure | Structure | function | function | Muscle structure | Muscle structure | reflex | reflex | Spinal cord | Spinal cord | Oculomotor control | Oculomotor control | Cerebellar structure | Cerebellar structure | Motor thalamus | Motor thalamus | Basal ganglia | Basal ganglia | Somatosensory cortex | Somatosensory cortex | Cortical plasticity | Cortical plasticity | Motor psychophysics | Motor psychophysics | motor planning | motor planning | Locomotion | Locomotion

License

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BE.462J Molecular Principles of Biomaterials (MIT) BE.462J Molecular Principles of Biomaterials (MIT)

Description

Analysis and design at a molecular scale of materials used in contact with biological systems, including biotechnology and biomedical engineering. Topics include molecular interactions between bio- and synthetic molecules and surfaces; design, synthesis, and processing approaches for materials that control cell functions; and application of state-of-the-art materials science to problems in tissue engineering, drug delivery, biosensors, and cell-guiding surfaces.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark or trademark of Microsoft Corporation in the U.S Analysis and design at a molecular scale of materials used in contact with biological systems, including biotechnology and biomedical engineering. Topics include molecular interactions between bio- and synthetic molecules and surfaces; design, synthesis, and processing approaches for materials that control cell functions; and application of state-of-the-art materials science to problems in tissue engineering, drug delivery, biosensors, and cell-guiding surfaces.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark or trademark of Microsoft Corporation in the U.S

Subjects

Analysis | Analysis | design | design | molecular scale | molecular scale | biological systems | biological systems | biotechnology | biotechnology | biomedical engineering | biomedical engineering | molecular interactions | molecular interactions | synthetic molecules | synthetic molecules | synthesis | synthesis | processing approaches | processing approaches | cell functions | cell functions | materials science | materials science | tissue engineering | tissue engineering | drug delivery | drug delivery | biosensors | biosensors | cell-guiding surfaces | cell-guiding surfaces | 3.962J | 3.962J | BE.462 | BE.462 | 3.962 | 3.962

License

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BE.011J Statistical Thermodynamics of Biomolecular Systems (MIT) BE.011J Statistical Thermodynamics of Biomolecular Systems (MIT)

Description

This course provides an introduction to the physical chemistry of biological systems. Topics include: connection of macroscopic thermodynamic properties to microscopic molecular properties using statistical mechanics, chemical potentials, equilibrium states, binding cooperativity, behavior of macromolecules in solution and at interfaces, and solvation. Example problems include protein structure, genomic analysis, single molecule biomechanics, and biomaterials.Technical RequirementsMATLAB® software is required to run the .m and .fig files found on this course site. This course provides an introduction to the physical chemistry of biological systems. Topics include: connection of macroscopic thermodynamic properties to microscopic molecular properties using statistical mechanics, chemical potentials, equilibrium states, binding cooperativity, behavior of macromolecules in solution and at interfaces, and solvation. Example problems include protein structure, genomic analysis, single molecule biomechanics, and biomaterials.Technical RequirementsMATLAB® software is required to run the .m and .fig files found on this course site.

Subjects

physical chemistry of biological systems | physical chemistry of biological systems | macroscopic thermodynamic properties | macroscopic thermodynamic properties | microscopic molecular properties | microscopic molecular properties | statistical mechanics | statistical mechanics | chemical potentials | chemical potentials | equilibrium states | equilibrium states | binding cooperativity | binding cooperativity | behavior of macromolecules in solution and at interfaces | behavior of macromolecules in solution and at interfaces | solvation | solvation | protein structure | protein structure | genomic analysis | genomic analysis | single molecule biomechanics | single molecule biomechanics | biomaterials | biomaterials | 2.772J | 2.772J | BE.011 | BE.011 | 2.772 | 2.772

License

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20.462J Molecular Principles of Biomaterials (BE.462J) (MIT) 20.462J Molecular Principles of Biomaterials (BE.462J) (MIT)

Description

Analysis and design at a molecular scale of materials used in contact with biological systems, including biotechnology and biomedical engineering. Topics include molecular interactions between bio- and synthetic molecules and surfaces; design, synthesis, and processing approaches for materials that control cell functions; and application of state-of-the-art materials science to problems in tissue engineering, drug delivery, biosensors, and cell-guiding surfaces.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark or trademark of Microsoft Corporation in the U.S Analysis and design at a molecular scale of materials used in contact with biological systems, including biotechnology and biomedical engineering. Topics include molecular interactions between bio- and synthetic molecules and surfaces; design, synthesis, and processing approaches for materials that control cell functions; and application of state-of-the-art materials science to problems in tissue engineering, drug delivery, biosensors, and cell-guiding surfaces.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark or trademark of Microsoft Corporation in the U.S

Subjects

Analysis | Analysis | design | design | molecular scale | molecular scale | biological systems | biological systems | biotechnology | biotechnology | biomedical engineering | biomedical engineering | molecular interactions | molecular interactions | synthetic molecules | synthetic molecules | synthesis | synthesis | processing approaches | processing approaches | cell functions | cell functions | materials science | materials science | tissue engineering | tissue engineering | drug delivery | drug delivery | biosensors | biosensors | cell-guiding surfaces | cell-guiding surfaces | BE.462J | BE.462J | BE.462 | BE.462 | 3.962 | 3.962

License

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6.050J Information and Entropy (MIT) 6.050J Information and Entropy (MIT)

Description

Includes audio/video content: AV selected lectures. This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing. Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation. The concept of entropy applied to channel capacity and to the second law of thermodynamics. Includes audio/video content: AV selected lectures. This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing. Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation. The concept of entropy applied to channel capacity and to the second law of thermodynamics.

Subjects

information and entropy | information and entropy | computing | computing | communications | communications | thermodynamics | thermodynamics | digital signals and streams | digital signals and streams | codes | codes | compression | compression | noise | noise | probability | probability | reversible operations | reversible operations | irreversible operations | irreversible operations | information in biological systems | information in biological systems | channel capacity | channel capacity | maximum-entropy formalism | maximum-entropy formalism | thermodynamic equilibrium | thermodynamic equilibrium | temperature | temperature | second law of thermodynamics quantum computation | second law of thermodynamics quantum computation

License

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2.882 System Design and Analysis based on AD and Complexity Theories (MIT) 2.882 System Design and Analysis based on AD and Complexity Theories (MIT)

Description

This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the "design" of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed using Axiomatic Design Theory and Complexity Theory. Case studies are presented including the design of machines, tribological systems, materials, manufacturing systems, and recent inventions. Implications of AD and complexity theories on biological systems discussed. This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the "design" of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed using Axiomatic Design Theory and Complexity Theory. Case studies are presented including the design of machines, tribological systems, materials, manufacturing systems, and recent inventions. Implications of AD and complexity theories on biological systems discussed.

Subjects

information content | information content | electrical connector | electrical connector | constraint | constraint | complexity | complexity | manufacturing | manufacturing | design | design | functional requirement | functional requirement | requirement | requirement | tradeoff | tradeoff | optimization | optimization | engineered systems | engineered systems | natural systems | natural systems | complexity theory | complexity theory | axiomatic design | axiomatic design | tribology | tribology | tribological systems | tribological systems | manufacturing systems | manufacturing systems | biological systems | biological systems

License

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7.342 Systems and Synthetic Biology: How the Cell Solves Problems (MIT) 7.342 Systems and Synthetic Biology: How the Cell Solves Problems (MIT)

Description

A millennial challenge in biology is to decipher how vast arrays of molecular interactions inside the cell work in concert to produce a cellular function. Systems biology, a new interdisciplinary field of science, brings together biologists and physicists to tackle this grand challenge through quantitative experiments and models. In this course, we will discuss the unifying principles that all organisms use to perform cellular functions. We will also discuss key challenges faced by a cell in both single and multi-cellular organisms. Finally, we will discuss how researchers in the field of synthetic biology are using the new knowledge gained from studying naturally-occurring biological systems to create artificial gene networks capable of performing new functions. This course is one of many A millennial challenge in biology is to decipher how vast arrays of molecular interactions inside the cell work in concert to produce a cellular function. Systems biology, a new interdisciplinary field of science, brings together biologists and physicists to tackle this grand challenge through quantitative experiments and models. In this course, we will discuss the unifying principles that all organisms use to perform cellular functions. We will also discuss key challenges faced by a cell in both single and multi-cellular organisms. Finally, we will discuss how researchers in the field of synthetic biology are using the new knowledge gained from studying naturally-occurring biological systems to create artificial gene networks capable of performing new functions. This course is one of many

Subjects

systems biology | systems biology | synthetic biology | synthetic biology | cell | cell | cellular functions | cellular functions | biological systems | biological systems | artificial gene networks | artificial gene networks | molecular interactions | molecular interactions | molecular biology | molecular biology | genes | genes | RNA | RNA | proteins | proteins | macromolecules | macromolecules | intracellular biochemical interactions | intracellular biochemical interactions | extracellular molecules | extracellular molecules | gene expression | gene expression | stochastic gene expression | stochastic gene expression

License

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20.011J Statistical Thermodynamics of Biomolecular Systems (BE.011J) (MIT) 20.011J Statistical Thermodynamics of Biomolecular Systems (BE.011J) (MIT)

Description

This course provides an introduction to the physical chemistry of biological systems. Topics include: connection of macroscopic thermodynamic properties to microscopic molecular properties using statistical mechanics, chemical potentials, equilibrium states, binding cooperativity, behavior of macromolecules in solution and at interfaces, and solvation. Example problems include protein structure, genomic analysis, single molecule biomechanics, and biomaterials. This course provides an introduction to the physical chemistry of biological systems. Topics include: connection of macroscopic thermodynamic properties to microscopic molecular properties using statistical mechanics, chemical potentials, equilibrium states, binding cooperativity, behavior of macromolecules in solution and at interfaces, and solvation. Example problems include protein structure, genomic analysis, single molecule biomechanics, and biomaterials.

Subjects

physical chemistry of biological systems | physical chemistry of biological systems | macroscopic thermodynamic properties | macroscopic thermodynamic properties | microscopic molecular properties | microscopic molecular properties | statistical mechanics | statistical mechanics | chemical potentials | chemical potentials | equilibrium states | equilibrium states | binding cooperativity | binding cooperativity | behavior of macromolecules in solution and at interfaces | behavior of macromolecules in solution and at interfaces | solvation | solvation | protein structure | protein structure | genomic analysis | genomic analysis | single molecule biomechanics | single molecule biomechanics | biomaterials | biomaterials | BE.011J | BE.011J | BE.011 | BE.011 | 2.772 | 2.772

License

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22.55J Principles of Radiation Interactions (MIT) 22.55J Principles of Radiation Interactions (MIT)

Description

The central theme of this course is the interaction of radiation with biological material. The course is intended to provide a broad understanding of how different types of radiation deposit energy, including the creation and behavior of secondary radiations; of how radiation affects cells and why the different types of radiation have very different biological effects. Topics will include: the effects of radiation on biological systems including DNA damage; in vitro cell survival models; and in vivo mammalian systems. The course covers radiation therapy, radiation syndromes in humans and carcinogenesis. Environmental radiation sources on earth and in space, and aspects of radiation protection are also discussed. Examples from the current literature will be used to supplement lecture materi The central theme of this course is the interaction of radiation with biological material. The course is intended to provide a broad understanding of how different types of radiation deposit energy, including the creation and behavior of secondary radiations; of how radiation affects cells and why the different types of radiation have very different biological effects. Topics will include: the effects of radiation on biological systems including DNA damage; in vitro cell survival models; and in vivo mammalian systems. The course covers radiation therapy, radiation syndromes in humans and carcinogenesis. Environmental radiation sources on earth and in space, and aspects of radiation protection are also discussed. Examples from the current literature will be used to supplement lecture materi

Subjects

Interaction of radiation with biological material | Interaction of radiation with biological material | how different types of radiation deposit energy | how different types of radiation deposit energy | secondary radiations | secondary radiations | how radiation affects cells | how radiation affects cells | biological effects | biological effects | effects of radiation on biological systems | effects of radiation on biological systems | DNA damage | DNA damage | in vitro cell survival models | in vitro cell survival models | in vivo mammalian systems | in vivo mammalian systems | radiation therapy | radiation therapy | radiation syndromes in humans | radiation syndromes in humans | carcinogenesis | carcinogenesis | Environmental radiation sources | Environmental radiation sources | radiation protection | radiation protection | cells | cells | tissues | tissues | radiation interactions | radiation interactions | radiation chemistry | radiation chemistry | LET | LET | tracks | tracks | chromosome damags | chromosome damags | in vivo | in vivo | in vitro | in vitro | cell survival curves | cell survival curves | dose response | dose response | RBE | RBE | clustered damage | clustered damage | radiation response | radiation response | tumor kinetics | tumor kinetics | tumor radiobiology | tumor radiobiology | fractionation | fractionation | protons | protons | alpha particles | alpha particles | whole body exposure | whole body exposure | chronic exposure | chronic exposure | space | space | microbeams | microbeams | radon | radon | background radiation | background radiation | 22.55 | 22.55 | HST.560 | HST.560

License

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20.310J Molecular, Cellular, and Tissue Biomechanics (MIT) 20.310J Molecular, Cellular, and Tissue Biomechanics (MIT)

Description

This course develops and applies scaling laws and the methods of continuum and statistical mechanics to biomechanical phenomena over a range of length scales, from molecular to cellular to tissue or organ level. This course develops and applies scaling laws and the methods of continuum and statistical mechanics to biomechanical phenomena over a range of length scales, from molecular to cellular to tissue or organ level.

Subjects

biomechanics | biomechanics | molecular mechanics | molecular mechanics | cell mechanics | cell mechanics | Brownian motion | Brownian motion | Reynolds numbers | Reynolds numbers | mechanochemistry | mechanochemistry | Kramers' model | Kramers' model | Bell model | Bell model | viscoelasticity | viscoelasticity | poroelasticity | poroelasticity | optical tweezers | optical tweezers | extracellular matrix | extracellular matrix | collagen | collagen | proteoglycan | proteoglycan | cell membrane | cell membrane | cell motility | cell motility | mechanotransduction | mechanotransduction | cancer | cancer | biological systems | biological systems | molecular biology | molecular biology | cell biology | cell biology | cytoskeleton | cytoskeleton | cell | cell | biophysics | biophysics | cell migration | cell migration | biomembrane | biomembrane | tissue mechanics | tissue mechanics | rheology | rheology | polymer | polymer | length scale | length scale | muscle mechanics | muscle mechanics | experimental methods | experimental methods

License

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20.430J Fields, Forces, and Flows in Biological Systems (MIT) 20.430J Fields, Forces, and Flows in Biological Systems (MIT)

Description

This course covers the fundamental driving forces for transport—chemical gradients, electrical interactions, and fluid flow—as applied to the biology and biophysics of molecules, cells, and tissues. This course covers the fundamental driving forces for transport—chemical gradients, electrical interactions, and fluid flow—as applied to the biology and biophysics of molecules, cells, and tissues.

Subjects

diffusion | diffusion | molecular diffusion | molecular diffusion | diffusion-reaction | diffusion-reaction | conduction | conduction | convection | convection | biological systems | biological systems | fields | fields | electrical double layers | electrical double layers | Maxwell stress tensor | Maxwell stress tensor | physiological systems | physiological systems | fluid | fluid | solid | solid | equations of motion | equations of motion | case study | case study | electrode interfaces | electrode interfaces | transduction | transduction | random walk | random walk | Stokes-Einstein | Stokes-Einstein | Fick's laws | Fick's laws | reaction | reaction | Damköhler number | Damköhler number

License

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6.050J Information and Entropy (MIT)

Description

6.050J / 2.110J presents the unified theory of information with applications to computing, communications, thermodynamics, and other sciences. It covers digital signals and streams, codes, compression, noise, and probability, reversible and irreversible operations, information in biological systems, channel capacity, maximum-entropy formalism, thermodynamic equilibrium, temperature, the Second Law of Thermodynamics, and quantum computation. Designed for MIT freshmen as an elective, this course has been jointly developed by MIT's Departments of Electrical Engineering and Computer Science and Mechanical Engineering. There is no known course similar to 6.050J / 2.110J offered at any other university. 

Subjects

information and entropy | computing | communications | thermodynamics | digital signals and streams | codes | compression | noise | probability | reversible operations | irreversible operations | information in biological systems | channel capacity | aximum-entropy formalism | thermodynamic equilibrium | temperature | second law of thermodynamics quantum computation | maximum-entropy formalism | second law of thermodynamics | quantum computation | biological systems | unified theory of information | digital signals | digital streams | bits | errors | processes | inference | maximum entropy | physical systems | energy | quantum information | 6.050 | 2.110

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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22.55J Principles of Radiation Interactions (MIT)

Description

The central theme of this course is the interaction of radiation with biological material. The course is intended to provide a broad understanding of how different types of radiation deposit energy, including the creation and behavior of secondary radiations; of how radiation affects cells and why the different types of radiation have very different biological effects. Topics will include: the effects of radiation on biological systems including DNA damage; in vitro cell survival models; and in vivo mammalian systems. The course covers radiation therapy, radiation syndromes in humans and carcinogenesis. Environmental radiation sources on earth and in space, and aspects of radiation protection are also discussed. Examples from the current literature will be used to supplement lecture materi

Subjects

Interaction of radiation with biological material | how different types of radiation deposit energy | secondary radiations | how radiation affects cells | biological effects | effects of radiation on biological systems | DNA damage | in vitro cell survival models | in vivo mammalian systems | radiation therapy | radiation syndromes in humans | carcinogenesis | Environmental radiation sources | radiation protection | cells | tissues | radiation interactions | radiation chemistry | LET | tracks | chromosome damags | in vivo | in vitro | cell survival curves | dose response | RBE | clustered damage | radiation response | tumor kinetics | tumor radiobiology | fractionation | protons | alpha particles | whole body exposure | chronic exposure | space | microbeams | radon | background radiation | 22.55 | HST.560

License

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9.373 Somatosensory and Motor Systems (MIT)

Description

General principles of motor control in biological systems. Structure and function of sensory receptors. Muscle structure and reflex arcs. Spinal cord. Locomotion. Oculomotor control. Cerebellar structure and function. Motor thalamus. Basal ganglia. Somatosensory cortex: maps and neuronal properties. Cortical plasticity. Motor psychophysics and computational approaches to motor control, and motor planning.

Subjects

locomotion | motor control | biological systems | Structure | function | Muscle structure | reflex | Spinal cord | Oculomotor control | Cerebellar structure | Motor thalamus | Basal ganglia | Somatosensory cortex | Cortical plasticity | Motor psychophysics | motor planning | Locomotion

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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BE.462J Molecular Principles of Biomaterials (MIT)

Description

Analysis and design at a molecular scale of materials used in contact with biological systems, including biotechnology and biomedical engineering. Topics include molecular interactions between bio- and synthetic molecules and surfaces; design, synthesis, and processing approaches for materials that control cell functions; and application of state-of-the-art materials science to problems in tissue engineering, drug delivery, biosensors, and cell-guiding surfaces.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark or trademark of Microsoft Corporation in the U.S

Subjects

Analysis | design | molecular scale | biological systems | biotechnology | biomedical engineering | molecular interactions | synthetic molecules | synthesis | processing approaches | cell functions | materials science | tissue engineering | drug delivery | biosensors | cell-guiding surfaces | 3.962J | BE.462 | 3.962

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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BE.011J Statistical Thermodynamics of Biomolecular Systems (MIT)

Description

This course provides an introduction to the physical chemistry of biological systems. Topics include: connection of macroscopic thermodynamic properties to microscopic molecular properties using statistical mechanics, chemical potentials, equilibrium states, binding cooperativity, behavior of macromolecules in solution and at interfaces, and solvation. Example problems include protein structure, genomic analysis, single molecule biomechanics, and biomaterials.Technical RequirementsMATLAB® software is required to run the .m and .fig files found on this course site.

Subjects

physical chemistry of biological systems | macroscopic thermodynamic properties | microscopic molecular properties | statistical mechanics | chemical potentials | equilibrium states | binding cooperativity | behavior of macromolecules in solution and at interfaces | solvation | protein structure | genomic analysis | single molecule biomechanics | biomaterials | 2.772J | BE.011 | 2.772

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20.462J Molecular Principles of Biomaterials (BE.462J) (MIT)

Description

Analysis and design at a molecular scale of materials used in contact with biological systems, including biotechnology and biomedical engineering. Topics include molecular interactions between bio- and synthetic molecules and surfaces; design, synthesis, and processing approaches for materials that control cell functions; and application of state-of-the-art materials science to problems in tissue engineering, drug delivery, biosensors, and cell-guiding surfaces.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark or trademark of Microsoft Corporation in the U.S

Subjects

Analysis | design | molecular scale | biological systems | biotechnology | biomedical engineering | molecular interactions | synthetic molecules | synthesis | processing approaches | cell functions | materials science | tissue engineering | drug delivery | biosensors | cell-guiding surfaces | BE.462J | BE.462 | 3.962

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2.882 System Design and Analysis based on AD and Complexity Theories (MIT)

Description

This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the "design" of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed using Axiomatic Design Theory and Complexity Theory. Case studies are presented including the design of machines, tribological systems, materials, manufacturing systems, and recent inventions. Implications of AD and complexity theories on biological systems discussed.

Subjects

information content | electrical connector | constraint | complexity | manufacturing | design | functional requirement | requirement | tradeoff | optimization | engineered systems | natural systems | complexity theory | axiomatic design | tribology | tribological systems | manufacturing systems | biological systems

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7.342 Systems and Synthetic Biology: How the Cell Solves Problems (MIT)

Description

A millennial challenge in biology is to decipher how vast arrays of molecular interactions inside the cell work in concert to produce a cellular function. Systems biology, a new interdisciplinary field of science, brings together biologists and physicists to tackle this grand challenge through quantitative experiments and models. In this course, we will discuss the unifying principles that all organisms use to perform cellular functions. We will also discuss key challenges faced by a cell in both single and multi-cellular organisms. Finally, we will discuss how researchers in the field of synthetic biology are using the new knowledge gained from studying naturally-occurring biological systems to create artificial gene networks capable of performing new functions. This course is one of many

Subjects

systems biology | synthetic biology | cell | cellular functions | biological systems | artificial gene networks | molecular interactions | molecular biology | genes | RNA | proteins | macromolecules | intracellular biochemical interactions | extracellular molecules | gene expression | stochastic gene expression

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20.430J Fields, Forces, and Flows in Biological Systems (MIT)

Description

This course covers the fundamental driving forces for transport—chemical gradients, electrical interactions, and fluid flow—as applied to the biology and biophysics of molecules, cells, and tissues.

Subjects

diffusion | molecular diffusion | diffusion-reaction | conduction | convection | biological systems | fields | electrical double layers | Maxwell stress tensor | physiological systems | fluid | solid | equations of motion | case study | electrode interfaces | transduction | random walk | Stokes-Einstein | Fick's laws | reaction | hler number

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20.310J Molecular, Cellular, and Tissue Biomechanics (MIT)

Description

This course develops and applies scaling laws and the methods of continuum and statistical mechanics to biomechanical phenomena over a range of length scales, from molecular to cellular to tissue or organ level.

Subjects

biomechanics | molecular mechanics | cell mechanics | Brownian motion | Reynolds numbers | mechanochemistry | Kramers' model | Bell model | viscoelasticity | poroelasticity | optical tweezers | extracellular matrix | collagen | proteoglycan | cell membrane | cell motility | mechanotransduction | cancer | biological systems | molecular biology | cell biology | cytoskeleton | cell | biophysics | cell migration | biomembrane | tissue mechanics | rheology | polymer | length scale | muscle mechanics | experimental methods

License

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20.011J Statistical Thermodynamics of Biomolecular Systems (BE.011J) (MIT)

Description

This course provides an introduction to the physical chemistry of biological systems. Topics include: connection of macroscopic thermodynamic properties to microscopic molecular properties using statistical mechanics, chemical potentials, equilibrium states, binding cooperativity, behavior of macromolecules in solution and at interfaces, and solvation. Example problems include protein structure, genomic analysis, single molecule biomechanics, and biomaterials.

Subjects

physical chemistry of biological systems | macroscopic thermodynamic properties | microscopic molecular properties | statistical mechanics | chemical potentials | equilibrium states | binding cooperativity | behavior of macromolecules in solution and at interfaces | solvation | protein structure | genomic analysis | single molecule biomechanics | biomaterials | BE.011J | BE.011 | 2.772

License

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22.55J Principles of Radiation Interactions (MIT)

Description

The central theme of this course is the interaction of radiation with biological material. The course is intended to provide a broad understanding of how different types of radiation deposit energy, including the creation and behavior of secondary radiations; of how radiation affects cells and why the different types of radiation have very different biological effects. Topics will include: the effects of radiation on biological systems including DNA damage; in vitro cell survival models; and in vivo mammalian systems. The course covers radiation therapy, radiation syndromes in humans and carcinogenesis. Environmental radiation sources on earth and in space, and aspects of radiation protection are also discussed. Examples from the current literature will be used to supplement lecture materi

Subjects

Interaction of radiation with biological material | how different types of radiation deposit energy | secondary radiations | how radiation affects cells | biological effects | effects of radiation on biological systems | DNA damage | in vitro cell survival models | in vivo mammalian systems | radiation therapy | radiation syndromes in humans | carcinogenesis | Environmental radiation sources | radiation protection | cells | tissues | radiation interactions | radiation chemistry | LET | tracks | chromosome damags | in vivo | in vitro | cell survival curves | dose response | RBE | clustered damage | radiation response | tumor kinetics | tumor radiobiology | fractionation | protons | alpha particles | whole body exposure | chronic exposure | space | microbeams | radon | background radiation | 22.55 | HST.560

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6.050J Information and Entropy (MIT)

Description

This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing. Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation. The concept of entropy applied to channel capacity and to the second law of thermodynamics.

Subjects

information and entropy | computing | communications | thermodynamics | digital signals and streams | codes | compression | noise | probability | reversible operations | irreversible operations | information in biological systems | channel capacity | maximum-entropy formalism | thermodynamic equilibrium | temperature | second law of thermodynamics quantum computation

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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