Computational protein design is a challenge for implicit solvation models.
about
Balancing solvation and intramolecular interactions: toward a consistent generalized Born force fieldAtomic hydration potentials using a Monte Carlo Reference State (MCRS) for protein solvation modeling.Protein folding by zipping and assemblyPROTDES: CHARMM toolbox for computational protein design.Relating destabilizing regions to known functional sites in proteins.De novo self-assembling collagen heterotrimers using explicit positive and negative design.A solvated ligand rotamer approach and its application in computational protein design.OptMAVEn--a new framework for the de novo design of antibody variable region models targeting specific antigen epitopes.Dead-End Elimination with a Polarizable Force Field Repacks PCNA Structures.Progress in computational protein design.Protein-solvent interactionsPolarizable atomic multipole solutes in a Poisson-Boltzmann continuumChallenges in the computational design of proteinsPolarizable Atomic Multipole Solutes in a Generalized Kirkwood Continuum.Conformational sampling with implicit solvent models: application to the PHF6 peptide in tau protein.The EVB as a quantitative tool for formulating simulations and analyzing biological and chemical reactions.On the ability of molecular dynamics simulation and continuum electrostatics to treat interfacial water molecules in protein-protein complexes.Pairwise decomposition of an MMGBSA energy function for computational protein design.The empirical valence bond model: theory and applications
P2860
Q24649591-9D8AE933-A8BE-4730-ADDC-BBF95D236E7CQ30360779-0D4DEDF3-42CB-4B3A-9B81-0254BC949306Q30362818-747B7AA7-14D1-491A-9BF6-D8B5CA91C20FQ30378590-23F4B671-7B52-4275-98A5-43C888135F54Q33283263-0C1C88AC-AB0C-4965-A0D4-E46CEB096DB2Q33783695-FCBC6C50-C6F5-41FD-A0FF-9BF86DCC2F23Q34494894-EEAF0EF7-4E08-4C51-8E68-2B2F434E95D2Q35230802-8BFD475D-0671-4B8E-B31C-E37A16DC5062Q35989544-B7CAF745-D104-44E8-BF66-10A62B4EF103Q36389770-245E6370-BD71-408B-807C-904B68754BD1Q36472761-90905F1A-47FC-4804-93C9-50CE953DD3AAQ36781053-5D10DFF2-9997-4231-90F1-78100E881E83Q37424495-EE9593D9-3C37-4C17-B6B0-22E081FE2899Q38630201-55B6F1FE-9C36-4348-83CD-973081788795Q41047006-83796AAB-E262-4A36-9804-390A7DF3EF25Q41904561-A056E451-41E7-4835-AE8A-4683425A21C1Q42038286-F4AADCE9-DBFA-4CBB-B0A1-C53F86860D4AQ51733078-81815D79-DB13-41AB-BD34-FBF9BD349260Q58072647-7699139F-275B-4F9E-B0A4-2F4228F7CBFD
P2860
Computational protein design is a challenge for implicit solvation models.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Computational protein design is a challenge for implicit solvation models.
@en
type
label
Computational protein design is a challenge for implicit solvation models.
@en
prefLabel
Computational protein design is a challenge for implicit solvation models.
@en
P2860
P1433
P1476
Computational protein design is a challenge for implicit solvation models.
@en
P2860
P304
P356
10.1529/BIOPHYSJ.104.042044
P407
P577
2004-09-17T00:00:00Z