Coevolutionary information, protein folding landscapes, and the thermodynamics of natural selection.
about
Sequence co-evolutionary information is a natural partner to minimally-frustrated models of biomolecular dynamicsConstructing sequence-dependent protein models using coevolutionary information.Evolution, energy landscapes and the paradoxes of protein folding.Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models.Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches.Potts Hamiltonian models of protein co-variation, free energy landscapes, and evolutionary fitness.Improving landscape inference by integrating heterogeneous data in the inverse Ising problem.Inference of Epistatic Effects Leading to Entrenchment and Drug Resistance in HIV-1 Protease.Biophysics of protein evolution and evolutionary protein biophysicsCoevolutionary Landscape Inference and the Context-Dependence of Mutations in Beta-Lactamase TEM-1.SMOG 2: A Versatile Software Package for Generating Structure-Based Models.Dimeric interactions and complex formation using direct coevolutionary couplings.The Phylogenetic Signature Underlying ATP Synthase c-Ring Compliance.Lessons in Protein Design from Combined Evolution and Conformational Dynamics.Inferring repeat-protein energetics from evolutionary information.The Gearbox of the Bacterial Flagellar Motor Switch.Connecting the Sequence-Space of Bacterial Signaling Proteins to Phenotypes Using Coevolutionary Landscapes.Protein structure prediction: making AWSEM AWSEM-ER by adding evolutionary restraints.Large-scale identification of coevolution signals across homo-oligomeric protein interfaces by direct coupling analysis.Building a minimum frustration framework for brain functions over long time scales.Contact Statistics Highlight Distinct Organizing Principles of Proteins and RNAStructural propensities of kinase family proteins from a Potts model of residue co-variation.Using THz Spectroscopy, Evolutionary Network Analysis Methods, and MD Simulation to Map the Evolution of Allosteric Communication Pathways in c-Type Lysozymes.Model parameters for simulation of physiological lipidsCoevolutionary Landscape of Kinase Family Proteins: Sequence Probabilities and Functional Motifs.How Many Protein Sequences Fold to a Given Structure? A Coevolutionary Analysis.Revealing the global map of protein folding space by large-scale simulations.Optimal Design of Experiments by Combining Coarse and Fine Measurements.Information and redundancy in the burial folding code of globular proteins within a wide range of shapes and sizes.Co-evolutionary constraints of globular proteins correlate with their folding rates.Reducing degeneracy in maximum entropy models of networks.Predicting protein folding rate change upon point mutation using residue-level coevolutionary information.Genotypic and Phenotypic Factors Influencing Drug Response in Mexican Patients With Type 2 Diabetes Mellitus.Characterization of C-ring component assembly in flagellar motors from amino acid coevolution.Global pairwise RNA interaction landscapes reveal core features of protein recognition.Contact prediction is hardest for the most informative contacts, but improves with the incorporation of contact potentials.
P2860
Q26766142-73792940-B0D0-42DF-86BF-F023367BD6EBQ30009132-D4983411-B57B-49B1-8E40-672772E8B6C9Q30370011-80A21C1C-D83B-43ED-87AC-A8348E7334BBQ30388077-6726B037-DA46-443F-8FFA-F1394B2E235AQ30388845-04EBAE04-526E-4A7A-BFA1-2D6084E75C91Q30395457-4F7D2043-BD37-4763-88F1-2A9D18D9E121Q31144691-D1275D77-08D5-4ED3-B7CA-49BE523E0A5AQ33698683-95208FCA-CB7B-48BB-B3B6-C66F0DED3FF2Q34311852-9C1D7E47-B47E-48E6-9CCB-1028C8CB7FD6Q34497324-4270BAB7-39E9-4D35-860A-6C1EF1D56403Q35952382-C3F683C8-2E77-4680-A5EB-FCCB5EC26D16Q36027358-7168B20D-8BA0-4C22-AEAD-A07A20421EAEQ36043811-E8F5473C-AA22-42F9-B7AA-59257C9C6116Q36099145-A5921C49-CCF6-4173-9CDA-84AB7AA077ECQ36406261-675522CC-9106-4AF3-970C-093CF1401B1DQ37079852-515F0299-5DF1-4579-94F5-851C105E3C50Q37400436-4F769ABF-5DCE-48F2-8B77-C7240EBAF381Q38629307-C35306C6-6AD5-450A-8E6A-B7A37BB80D60Q38746410-FFA92A75-E35D-486F-8190-9BE65869DE91Q38817675-54244D85-11E6-493B-9F07-BB438C21B101Q39700715-0EB0EEBA-723C-4024-84C8-9774CB696234Q39724623-CE925A5A-07FA-4C32-B94B-9241E7157B7DQ40576749-6727A998-4323-4E77-9AB7-A98B2EE4C3FFQ41484392-80F7AC12-40ED-4B17-B424-23B062767022Q47213672-88F00215-0152-4550-9B05-9A597C9CBCD8Q47632806-E36DBD71-A00E-4439-ACC2-12BF267F8CDBQ48635504-B5FAE0C9-9773-4A32-B195-7867B40AC25EQ50013783-1733D523-AA2B-48B2-8294-5069C919FBB4Q50726214-EF87D17E-1EDF-4723-A46C-D84878AF5758Q50884788-73DCAD5E-00C3-4239-8D6F-05C17DEEF773Q50921666-69855186-A978-4DB7-AC25-73DBEDA61CDCQ51645839-2A5D8D8B-353B-46DA-93B8-CB1D03591642Q55052487-5149B91A-7EF5-4999-8C27-EAB5004F6B52Q55270977-76ACC0DF-8556-42EF-B9A6-92E01C7B78A1Q55397375-57349FFB-FC0F-4DB8-B832-094DFBB6C763Q55453498-03F72F40-59B7-4AAB-9C60-B1FBB8DB4500
P2860
Coevolutionary information, protein folding landscapes, and the thermodynamics of natural selection.
description
2014 nî lūn-bûn
@nan
2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Coevolutionary information, pr ...... dynamics of natural selection.
@ast
Coevolutionary information, pr ...... dynamics of natural selection.
@en
Coevolutionary information, pr ...... dynamics of natural selection.
@nl
type
label
Coevolutionary information, pr ...... dynamics of natural selection.
@ast
Coevolutionary information, pr ...... dynamics of natural selection.
@en
Coevolutionary information, pr ...... dynamics of natural selection.
@nl
prefLabel
Coevolutionary information, pr ...... dynamics of natural selection.
@ast
Coevolutionary information, pr ...... dynamics of natural selection.
@en
Coevolutionary information, pr ...... dynamics of natural selection.
@nl
P2093
P2860
P356
P1476
Coevolutionary information, pr ...... dynamics of natural selection.
@en
P2093
Faruck Morcos
Nicholas P Schafer
Ryan R Cheng
P2860
P304
12408-12413
P356
10.1073/PNAS.1413575111
P407
P577
2014-08-11T00:00:00Z