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7.88J Protein Folding Problem (MIT) 7.88J Protein Folding Problem (MIT)

Description

This course focuses on the mechanisms by which the amino acid sequence of polypeptide chains (proteins), determine their three-dimensional conformation. Topics in this course include sequence determinants of secondary structure, the folding of newly synthesized polypeptide chains within cells, folding intermediates aggregation and competing off-pathway reactions, and the unfolding and refolding of proteins in vitro. Additional topics covered are the role of helper proteins such as chaperonins and isomerases, protein recovery problems in the biotechnology industry, and diseases found associated with protein folding defects. This course focuses on the mechanisms by which the amino acid sequence of polypeptide chains (proteins), determine their three-dimensional conformation. Topics in this course include sequence determinants of secondary structure, the folding of newly synthesized polypeptide chains within cells, folding intermediates aggregation and competing off-pathway reactions, and the unfolding and refolding of proteins in vitro. Additional topics covered are the role of helper proteins such as chaperonins and isomerases, protein recovery problems in the biotechnology industry, and diseases found associated with protein folding defects.

Subjects

amino acid sequence | amino acid sequence | polypeptide chains | polypeptide chains | sequence determinants | sequence determinants | folding | folding | synthesized polypeptide chains within cells | synthesized polypeptide chains within cells | unfolding and refolding of proteins in vitro | unfolding and refolding of proteins in vitro | folding intermediates aggregation | folding intermediates aggregation | competing off-pathway reactions | competing off-pathway reactions | chaperonins | chaperonins | isomerases | isomerases | helper proteins | helper proteins | protein recovery problems | protein recovery problems | biotechnology industry | biotechnology industry | protein folding defects | protein folding defects | 3-D conformation | 3-D conformation | globular proteins | globular proteins | fibrous proteins | fibrous proteins | kinetics | kinetics | in vitro refolding | in vitro refolding | pathways | pathways | in vivo folding | in vivo folding | synthesized proteins | synthesized proteins | aggregation | aggregation | protein misfolding | protein misfolding | human disease | human disease | protein folding | protein folding | genome sequences | genome sequences | 7.88 | 7.88 | 5.48 | 5.48 | 7.24 | 7.24 | 10.543 | 10.543

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8.592 Statistical Physics in Biology (MIT) 8.592 Statistical Physics in Biology (MIT)

Description

Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, and phylogenetic trees; physical interactions responsible for structure of biopolymers; DNA double helix, secondary structure of RNA, and elements of protein folding; Considerations of force, motion, and packaging; protein motors, membranes. We also look at collective behavior of biological elements, cellular networks, neural networks, and evolution.Technical RequirementsAny number of biological sequence comparison software tools can be used to import the .fna files found on this course site. Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, and phylogenetic trees; physical interactions responsible for structure of biopolymers; DNA double helix, secondary structure of RNA, and elements of protein folding; Considerations of force, motion, and packaging; protein motors, membranes. We also look at collective behavior of biological elements, cellular networks, neural networks, and evolution.Technical RequirementsAny number of biological sequence comparison software tools can be used to import the .fna files found on this course site.

Subjects

Bioinformatics | Bioinformatics | DNA | DNA | gene finding | gene finding | sequence comparison | sequence comparison | phylogenetic trees | phylogenetic trees | biopolymers | biopolymers | DNA double helix | DNA double helix | secondary structure of RNA | secondary structure of RNA | protein folding | protein folding | protein motors | membranes | protein motors | membranes | cellular networks | cellular networks | neural networks | neural networks | evolution | evolution | statistical physics | statistical physics | molecular biology | molecular biology | deoxyribonucleic acid | deoxyribonucleic acid | genes | genes | genetics | genetics | gene sequencing | gene sequencing | phylogenetics | phylogenetics | double helix | double helix | RNA | RNA | ribonucleic acid | ribonucleic acid | force | force | motion | motion | packaging | packaging | protein motors | protein motors | membranes | membranes | biochemistry | biochemistry | genome | genome | optimization | optimization | partitioning | partitioning | pattern recognition | pattern recognition | collective behavior | collective behavior

License

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5.08J Biological Chemistry II (MIT) 5.08J Biological Chemistry II (MIT)

Description

This course deals with a more advanced treatment of the biochemical mechanisms that underlie biological processes. Emphasis will be given to the experimental methods used to unravel how these processes fit into the cellular context as well as the coordinated regulation of these processes. Topics include macromolecular machines for energy and force transduction, regulation of biosynthetic and degradative pathways, and the structure and function of nucleic acids. This course deals with a more advanced treatment of the biochemical mechanisms that underlie biological processes. Emphasis will be given to the experimental methods used to unravel how these processes fit into the cellular context as well as the coordinated regulation of these processes. Topics include macromolecular machines for energy and force transduction, regulation of biosynthetic and degradative pathways, and the structure and function of nucleic acids.

Subjects

biochemistry | biochemistry | biological chemistry | biological chemistry | Rasmol | Rasmol | Deep Viewer | Deep Viewer | CHIME | CHIME | BLAST | BLAST | PDB | PDB | macromolecular machines | macromolecular machines | protein folding | protein folding | protein degradation | protein degradation | fatty acid synthases | fatty acid synthases | polyketide synthases | polyketide synthases | non-ribosomal polypeptide synthases | non-ribosomal polypeptide synthases | metal homeostasis | metal homeostasis | biochemical mechanisms | biochemical mechanisms | biochemical pathways | biochemical pathways | macromolecular interactions | macromolecular interactions | ribosome | ribosome | mRNA | mRNA | metabolic networking | metabolic networking | 5.08 | 5.08 | 7.08 | 7.08

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7.343 Protein Folding, Misfolding and Human Disease (MIT) 7.343 Protein Folding, Misfolding and Human Disease (MIT)

Description

This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. The instructor for this course, Dr. Kosinski-Collins, is a member of the HHMI Education Group. Maintenance of the complex three-dimensional structure adopted by a protein in the cell is vital for function. Oftentimes, as a consequence of environmental stress, genetic mutation, and/or infection, the folded structure of a protein gets altered and multiple proteins stick and fall out of solution in a process known as aggregation. In many protein aggregation diseases, incorrectly folded proteins self-associate, for This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. The instructor for this course, Dr. Kosinski-Collins, is a member of the HHMI Education Group. Maintenance of the complex three-dimensional structure adopted by a protein in the cell is vital for function. Oftentimes, as a consequence of environmental stress, genetic mutation, and/or infection, the folded structure of a protein gets altered and multiple proteins stick and fall out of solution in a process known as aggregation. In many protein aggregation diseases, incorrectly folded proteins self-associate, for

Subjects

protein folding | protein folding | misfolded proteins | misfolded proteins | Mad Cow | Mad Cow | Creutzfedt-Jakob Disease | Creutzfedt-Jakob Disease | Alzheimer's Disease | Alzheimer's Disease | Huntington's Disease | Huntington's Disease | protein aggregation | protein aggregation | self-associate | self-associate | cell death | cell death | dementia | dementia | prions | prions | bovine spongiform encephalopathy | bovine spongiform encephalopathy | kuru | kuru | scrapie | scrapie | protein structure | protein structure | amyloid protein | amyloid protein | amyloidosis | amyloidosis | polyglutamine repeats | polyglutamine repeats | fibrils | fibrils

License

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8.592J Statistical Physics in Biology (MIT) 8.592J Statistical Physics in Biology (MIT)

Description

Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, and phylogenetic trees; physical interactions responsible for structure of biopolymers; DNA double helix, secondary structure of RNA, and elements of protein folding; considerations of force, motion, and packaging; protein motors, membranes. We also look at collective behavior of biological elements, cellular networks, neural networks, and evolution. Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, and phylogenetic trees; physical interactions responsible for structure of biopolymers; DNA double helix, secondary structure of RNA, and elements of protein folding; considerations of force, motion, and packaging; protein motors, membranes. We also look at collective behavior of biological elements, cellular networks, neural networks, and evolution.

Subjects

8.592 | 8.592 | HST.452 | HST.452 | Statistical physics | Statistical physics | Bioinformatics | Bioinformatics | DNA | DNA | gene finding | gene finding | sequence comparison | sequence comparison | phylogenetic trees | phylogenetic trees | biopolymers | biopolymers | DNA double helix | DNA double helix | secondary structure of RNA | secondary structure of RNA | protein folding | protein folding | protein motors | protein motors | membranes | membranes | cellular networks | cellular networks | neural networks | neural networks | evolution | evolution

License

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HST.508 Quantitative Genomics (MIT) HST.508 Quantitative Genomics (MIT)

Description

This course provides a foundation in the following four areas: evolutionary and population genetics; comparative genomics; structural genomics and proteomics; and functional genomics and regulation. This course provides a foundation in the following four areas: evolutionary and population genetics; comparative genomics; structural genomics and proteomics; and functional genomics and regulation.

Subjects

genomics | genomics | quantitative genomics | quantitative genomics | comparative genomics | comparative genomics | genes | genes | genome | genome | SNPs | SNPs | haplotypes | haplotypes | sequence alignment | sequence alignment | protein structure | protein structure | protein folding | protein folding | proteomics | proteomics | structural genomics | structural genomics | functional genomics | functional genomics | networks | networks | systems biology | systems biology | biological networks | biological networks | RNA | RNA | DNA | DNA | gene expression | gene expression | evolutionary genetics | evolutionary genetics | population genetics | population genetics

License

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8.592J Statistical Physics in Biology (MIT) 8.592J Statistical Physics in Biology (MIT)

Description

Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, and phylogenetic trees; physical interactions responsible for structure of biopolymers; DNA double helix, secondary structure of RNA, and elements of protein folding; considerations of force, motion, and packaging; protein motors, membranes. We also look at collective behavior of biological elements, cellular networks, neural networks, and evolution. Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, and phylogenetic trees; physical interactions responsible for structure of biopolymers; DNA double helix, secondary structure of RNA, and elements of protein folding; considerations of force, motion, and packaging; protein motors, membranes. We also look at collective behavior of biological elements, cellular networks, neural networks, and evolution.

Subjects

Bioinformatics | Bioinformatics | DNA | DNA | gene finding | gene finding | sequence comparison | sequence comparison | phylogenetic trees | phylogenetic trees | biopolymers | biopolymers | DNA double helix | DNA double helix | secondary structure of RNA | secondary structure of RNA | protein folding | protein folding | protein motors | protein motors | membranes | membranes | cellular networks | cellular networks | neural networks | neural networks | evolution | evolution

License

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7.91J Foundations of Computational and Systems Biology (MIT) 7.91J Foundations of Computational and Systems Biology (MIT)

Description

This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas. This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas.

Subjects

7.91 | 7.91 | 20.490 | 20.490 | 20.390 | 20.390 | 7.36 | 7.36 | 6.802 | 6.802 | 6.874 | 6.874 | HST.506 | HST.506 | computational biology | computational biology | systems biology | systems biology | bioinformatics | bioinformatics | artificial intelligence | artificial intelligence | sequence analysis | sequence analysis | proteomics | proteomics | sequence alignment | sequence alignment | protein folding | protein folding | structure prediction | structure prediction | network modeling | network modeling | phylogenetics | phylogenetics | pairwise sequence comparisons | pairwise sequence comparisons | ncbi | ncbi | blast | blast | protein structure | protein structure | dynamic programming | dynamic programming | genome sequencing | genome sequencing | DNA | DNA | RNA | RNA | x-ray crystallography | x-ray crystallography | NMR | NMR | homologs | homologs | ab initio structure prediction | ab initio structure prediction | DNA microarrays | DNA microarrays | clustering | clustering | proteome | proteome | computational annotation | computational annotation

License

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7.91J Foundations of Computational and Systems Biology (MIT) 7.91J Foundations of Computational and Systems Biology (MIT)

Description

Serving as an introduction to computational biology, this course emphasizes the fundamentals of nucleic acid and protein sequence analysis, structural analysis, and the analysis of complex biological systems. The principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction, and network modeling are covered. Students are also exposed to currently emerging research areas in the fields of computational and systems biology. Serving as an introduction to computational biology, this course emphasizes the fundamentals of nucleic acid and protein sequence analysis, structural analysis, and the analysis of complex biological systems. The principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction, and network modeling are covered. Students are also exposed to currently emerging research areas in the fields of computational and systems biology.

Subjects

computational biology | computational biology | systems biology | systems biology | bioinformatics | bioinformatics | sequence analysis | sequence analysis | proteomics | proteomics | sequence alignment | sequence alignment | protein folding | protein folding | structure prediction | structure prediction | network modeling | network modeling | phylogenetics | phylogenetics | pairwise sequence comparisons | pairwise sequence comparisons | ncbi | ncbi | blast | blast | protein structure | protein structure | dynamic programming | dynamic programming | genome sequencing | genome sequencing | DNA | DNA | RNA | RNA | x-ray crystallography | x-ray crystallography | NMR | NMR | homologs | homologs | ab initio structure prediction | ab initio structure prediction | DNA microarrays | DNA microarrays | clustering | clustering | proteome | proteome | computational annotation | computational annotation | BE.490J | BE.490J | 7.91 | 7.91 | 7.36 | 7.36 | BE.490 | BE.490 | 20.490 | 20.490

License

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7.88J Protein Folding and Human Disease (MIT) 7.88J Protein Folding and Human Disease (MIT)

Description

This course covers amino acid sequence control of protein folding, misfolding, amyloid polymerization and aggregation. Readings and discussions address topics such as chaperone structure and function, folding and assembly of fibrous proteins, and pathologies associated with protein misfolding and aggregation in Alzheimer's, Parkinson's, Huntington's and other protein deposition diseases. Students are required to write and present a research paper. This course covers amino acid sequence control of protein folding, misfolding, amyloid polymerization and aggregation. Readings and discussions address topics such as chaperone structure and function, folding and assembly of fibrous proteins, and pathologies associated with protein misfolding and aggregation in Alzheimer's, Parkinson's, Huntington's and other protein deposition diseases. Students are required to write and present a research paper.

Subjects

protein folding | protein folding | misfolding | misfolding | aggregation | aggregation | protein structures | protein structures | folding intermediates | folding intermediates | off-pathway aggregation | off-pathway aggregation | amyloid formation | amyloid formation | Key chaperones | Key chaperones | chaperonins | chaperonins | human protein deposition diseases | human protein deposition diseases | Alzheimer’s disease | Alzheimer’s disease | Parkinson’s disease | Parkinson’s disease | Huntington’s disease | Huntington’s disease | amyloids | amyloids | prions | prions | amino acid sequence | amino acid sequence | amyloid polymerization | amyloid polymerization | chaperone structure and function | chaperone structure and function | folding and assembly of fibrous proteins | folding and assembly of fibrous proteins

License

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7.88J Protein Folding Problem (MIT)

Description

This course focuses on the mechanisms by which the amino acid sequence of polypeptide chains (proteins), determine their three-dimensional conformation. Topics in this course include sequence determinants of secondary structure, the folding of newly synthesized polypeptide chains within cells, folding intermediates aggregation and competing off-pathway reactions, and the unfolding and refolding of proteins in vitro. Additional topics covered are the role of helper proteins such as chaperonins and isomerases, protein recovery problems in the biotechnology industry, and diseases found associated with protein folding defects.

Subjects

amino acid sequence | polypeptide chains | sequence determinants | folding | synthesized polypeptide chains within cells | unfolding and refolding of proteins in vitro | folding intermediates aggregation | competing off-pathway reactions | chaperonins | isomerases | helper proteins | protein recovery problems | biotechnology industry | protein folding defects | 3-D conformation | globular proteins | fibrous proteins | kinetics | in vitro refolding | pathways | in vivo folding | synthesized proteins | aggregation | protein misfolding | human disease | protein folding | genome sequences | 7.88 | 5.48 | 7.24 | 10.543

License

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Cleaning up misfolded proteins

Description

Misfolded proteins can either create the loss of a cellular function, or escape degradation, causing aggregation diseases. Dr John Christianson's research focusses on ER-associated degradation, which is responsible for clearing non-functional and orphan translation products. These processes play a central role in inherited diseases such a cystic fibrosis and various forms of cancer. Dr Christianson's long term goal is to identify novel points of interventions for cancer therapies. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

cancer | protein folding | cystic fibrosis | cellular | epidemic diseases | cancer | protein folding | cystic fibrosis | cellular | epidemic diseases

License

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7.91J Foundations of Computational and Systems Biology (MIT)

Description

Serving as an introduction to computational biology, this course emphasizes the fundamentals of nucleic acid and protein sequence analysis, structural analysis, and the analysis of complex biological systems. The principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction, and network modeling are covered. Students are also exposed to currently emerging research areas in the fields of computational and systems biology.

Subjects

computational biology | systems biology | bioinformatics | sequence analysis | proteomics | sequence alignment | protein folding | structure prediction | network modeling | phylogenetics | pairwise sequence comparisons | ncbi | blast | protein structure | dynamic programming | genome sequencing | DNA | RNA | x-ray crystallography | NMR | homologs | ab initio structure prediction | DNA microarrays | clustering | proteome | computational annotation | BE.490J | 7.91 | 7.36 | BE.490 | 20.490

License

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7.91J Foundations of Computational and Systems Biology (MIT)

Description

Serving as an introduction to computational biology, this course emphasizes the fundamentals of nucleic acid and protein sequence analysis, structural analysis, and the analysis of complex biological systems. The principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction, and network modeling are covered. Students are also exposed to currently emerging research areas in the fields of computational and systems biology.

Subjects

computational biology | systems biology | bioinformatics | sequence analysis | proteomics | sequence alignment | protein folding | structure prediction | network modeling | phylogenetics | pairwise sequence comparisons | ncbi | blast | protein structure | dynamic programming | genome sequencing | DNA | RNA | x-ray crystallography | NMR | homologs | ab initio structure prediction | DNA microarrays | clustering | proteome | computational annotation | BE.490J | 7.91 | 7.36 | BE.490 | 20.490

License

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5.08J Biological Chemistry II (MIT)

Description

This course deals with a more advanced treatment of the biochemical mechanisms that underlie biological processes. Emphasis will be given to the experimental methods used to unravel how these processes fit into the cellular context as well as the coordinated regulation of these processes. Topics include macromolecular machines for energy and force transduction, regulation of biosynthetic and degradative pathways, and the structure and function of nucleic acids.

Subjects

biochemistry | biological chemistry | Rasmol | Deep Viewer | CHIME | BLAST | PDB | macromolecular machines | protein folding | protein degradation | fatty acid synthases | polyketide synthases | non-ribosomal polypeptide synthases | metal homeostasis | biochemical mechanisms | biochemical pathways | macromolecular interactions | ribosome | mRNA | metabolic networking | 5.08 | 7.08

License

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7.91J Foundations of Computational and Systems Biology (MIT)

Description

Serving as an introduction to computational biology, this course emphasizes the fundamentals of nucleic acid and protein sequence analysis, structural analysis, and the analysis of complex biological systems. The principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction, and network modeling are covered. Students are also exposed to currently emerging research areas in the fields of computational and systems biology.

Subjects

computational biology | systems biology | bioinformatics | sequence analysis | proteomics | sequence alignment | protein folding | structure prediction | network modeling | phylogenetics | pairwise sequence comparisons | ncbi | blast | protein structure | dynamic programming | genome sequencing | DNA | RNA | x-ray crystallography | NMR | homologs | ab initio structure prediction | DNA microarrays | clustering | proteome | computational annotation | BE.490J | 7.91 | 7.36 | BE.490 | 20.490

License

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8.592J Statistical Physics in Biology (MIT)

Description

Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, and phylogenetic trees; physical interactions responsible for structure of biopolymers; DNA double helix, secondary structure of RNA, and elements of protein folding; considerations of force, motion, and packaging; protein motors, membranes. We also look at collective behavior of biological elements, cellular networks, neural networks, and evolution.

Subjects

Bioinformatics | DNA | gene finding | sequence comparison | phylogenetic trees | biopolymers | DNA double helix | secondary structure of RNA | protein folding | protein motors | membranes | cellular networks | neural networks | evolution

License

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8.592 Statistical Physics in Biology (MIT)

Description

Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, and phylogenetic trees; physical interactions responsible for structure of biopolymers; DNA double helix, secondary structure of RNA, and elements of protein folding; Considerations of force, motion, and packaging; protein motors, membranes. We also look at collective behavior of biological elements, cellular networks, neural networks, and evolution.Technical RequirementsAny number of biological sequence comparison software tools can be used to import the .fna files found on this course site.

Subjects

Bioinformatics | DNA | gene finding | sequence comparison | phylogenetic trees | biopolymers | DNA double helix | secondary structure of RNA | protein folding | protein motors | membranes | cellular networks | neural networks | evolution | statistical physics | molecular biology | deoxyribonucleic acid | genes | genetics | gene sequencing | phylogenetics | double helix | RNA | ribonucleic acid | force | motion | packaging | protein motors | membranes | biochemistry | genome | optimization | partitioning | pattern recognition | collective behavior

License

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7.88J Protein Folding and Human Disease (MIT)

Description

This course covers amino acid sequence control of protein folding, misfolding, amyloid polymerization and aggregation. Readings and discussions address topics such as chaperone structure and function, folding and assembly of fibrous proteins, and pathologies associated with protein misfolding and aggregation in Alzheimer's, Parkinson's, Huntington's and other protein deposition diseases. Students are required to write and present a research paper.

Subjects

protein folding | misfolding | aggregation | protein structures | folding intermediates | off-pathway aggregation | amyloid formation | Key chaperones | chaperonins | human protein deposition diseases | ?s disease | amyloids | prions | amino acid sequence | amyloid polymerization | chaperone structure and function | folding and assembly of fibrous proteins

License

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7.91J Foundations of Computational and Systems Biology (MIT)

Description

This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas.

Subjects

7.91 | 20.490 | 20.390 | 7.36 | 6.802 | 6.874 | HST.506 | computational biology | systems biology | bioinformatics | artificial intelligence | sequence analysis | proteomics | sequence alignment | protein folding | structure prediction | network modeling | phylogenetics | pairwise sequence comparisons | ncbi | blast | protein structure | dynamic programming | genome sequencing | DNA | RNA | x-ray crystallography | NMR | homologs | ab initio structure prediction | DNA microarrays | clustering | proteome | computational annotation

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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7.343 Protein Folding, Misfolding and Human Disease (MIT)

Description

This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. The instructor for this course, Dr. Kosinski-Collins, is a member of the HHMI Education Group. Maintenance of the complex three-dimensional structure adopted by a protein in the cell is vital for function. Oftentimes, as a consequence of environmental stress, genetic mutation, and/or infection, the folded structure of a protein gets altered and multiple proteins stick and fall out of solution in a process known as aggregation. In many protein aggregation diseases, incorrectly folded proteins self-associate, for

Subjects

protein folding | misfolded proteins | Mad Cow | Creutzfedt-Jakob Disease | Alzheimer's Disease | Huntington's Disease | protein aggregation | self-associate | cell death | dementia | prions | bovine spongiform encephalopathy | kuru | scrapie | protein structure | amyloid protein | amyloidosis | polyglutamine repeats | fibrils

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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8.592J Statistical Physics in Biology (MIT)

Description

Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence comparison, and phylogenetic trees; physical interactions responsible for structure of biopolymers; DNA double helix, secondary structure of RNA, and elements of protein folding; considerations of force, motion, and packaging; protein motors, membranes. We also look at collective behavior of biological elements, cellular networks, neural networks, and evolution.

Subjects

8.592 | HST.452 | Statistical physics | Bioinformatics | DNA | gene finding | sequence comparison | phylogenetic trees | biopolymers | DNA double helix | secondary structure of RNA | protein folding | protein motors | membranes | cellular networks | neural networks | evolution

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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HST.508 Quantitative Genomics (MIT)

Description

This course provides a foundation in the following four areas: evolutionary and population genetics; comparative genomics; structural genomics and proteomics; and functional genomics and regulation.

Subjects

genomics | quantitative genomics | comparative genomics | genes | genome | SNPs | haplotypes | sequence alignment | protein structure | protein folding | proteomics | structural genomics | functional genomics | networks | systems biology | biological networks | RNA | DNA | gene expression | evolutionary genetics | population genetics

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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5.08J Biological Chemistry II (MIT)

Description

This course deals with a more advanced treatment of the biochemical mechanisms that underlie biological processes. Emphasis will be given to the experimental methods used to unravel how these processes fit into the cellular context as well as the coordinated regulation of these processes. Topics include macromolecular machines for energy and force transduction, regulation of biosynthetic and degradative pathways, and the structure and function of nucleic acids.

Subjects

biochemistry | biological chemistry | Rasmol | Deep Viewer | CHIME | BLAST | PDB | macromolecular machines | protein folding | protein degradation | fatty acid synthases | polyketide synthases | non-ribosomal polypeptide synthases | metal homeostasis | biochemical mechanisms | biochemical pathways | macromolecular interactions | ribosome | mRNA | metabolic networking | 5.08 | 7.08

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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