Computational method to reduce the search space for directed protein evolution.
about
Exploiting models of molecular evolution to efficiently direct protein engineeringThe structurally constrained protein evolution model accounts for sequence patterns of the LbetaH superfamilyPlant synthetic biology for molecular engineering of signalling and developmentADAPT: a molecular mechanics approach for studying the structural properties of long DNA sequences.Identifying residue-residue clashes in protein hybrids by using a second-order mean-field approach.Structural determinants of the rate of protein evolution in yeast.Computationally mapping sequence space to understand evolutionary protein engineering.Computational protein engineering: bridging the gap between rational design and laboratory evolution.Designing artificial enzymes by intuition and computationDesigning specific protein-protein interactions using computation, experimental library screening, or integrated methodsSynthetic shuffling expands functional protein diversity by allowing amino acids to recombine independently.Growth factor engineering by degenerate homoduplex gene family recombination.An evolutionary route to xylanase process fitness.Transmutation of human glutathione transferase A2-2 with peroxidase activity into an efficient steroid isomerase.eCodonOpt: a systematic computational framework for optimizing codon usage in directed evolution experimentsStrategy for directing combinatorial genome engineering in Escherichia coli.Rapid evolution of beta-glucuronidase specificity by saturation mutagenesis of an active site loop.Computationally designed libraries of fluorescent proteins evaluated by preservation and diversity of function.Steering directed protein evolution: strategies to manage combinatorial complexity of mutant libraries.A computational framework to empower probabilistic protein designSimultaneous improvement of catalytic activity and thermal stability of tyrosine phenol-lyase by directed evolution.Method for designing and optimizing random-search libraries for strain improvement.Recombinatoric exploration of novel folded structures: a heteropolymer-based model of protein evolutionary landscapesSequence optimization and designability of enzyme active sites.Computational methods for de novo protein design and its applications to the human immunodeficiency virus 1, purine nucleoside phosphorylase, ubiquitin specific protease 7, and histone demethylases.Enzyme-like proteins by computational designDesign and directed evolution of a dideoxy purine nucleoside phosphorylase.Roles of mutation and recombination in the evolution of protein thermodynamicsImproved modeling of side-chain--base interactions and plasticity in protein--DNA interface designFoundations for the design and implementation of synthetic genetic circuits.Combining computational and experimental screening for rapid optimization of protein propertiesImproving the thermostability of alpha-amylase by combinatorial coevolving-site saturation mutagenesis.Computational structure-based redesign of enzyme activity.Applying physics-based scoring to calculate free energies of binding for single amino acid mutations in protein-protein complexesDirected Evolution and Mutant Characterization of Nitrilase from Rhodococcus rhodochrous tg1-A6.The outlook for protein engineering in crop improvement.Algorithm for backrub motions in protein design.Funnel-like organization in sequence space determines the distributions of protein stability and folding rate preferred by evolution.Challenges in the computational design of proteinsComputational Enzyme Design: Advances, hurdles and possible ways forward
P2860
Q24635353-1DD61AF1-C630-4A7D-AA53-918F58D9EA8DQ24804213-5015D26D-7C2D-4618-9610-3FD8754E1B24Q28066119-E3D213BD-0227-426F-978A-FDDCF05C7981Q30329286-915869DF-C8DF-4774-B856-9AFA0EBB61C3Q30332747-B6027199-DC6B-44AE-A239-5A21FC70DE88Q30354999-91E11EB4-E04B-4CA3-98AF-332244A5F9A6Q30365927-91AA6F40-EF01-4FDC-80E3-5D767E531FB2Q30394571-A92C8F11-5268-4E27-A8CC-7E380CF2E3EDQ30396924-377A9492-2FB3-468F-B385-899B63272939Q30416858-933BC6C5-707F-44B5-A12C-3133F22296C5Q30869909-94F25EFE-D474-4BC0-8051-6CB17CC33DC0Q30869925-78795101-192D-4A80-A1F2-6622F7051AD3Q31035496-9E032BA0-3D3B-432F-906B-8E52A090449EQ31060519-B309DD53-BB15-4459-AEFF-BA979C1B30E7Q31063252-B1E0F008-C61E-4A5B-8DDC-E3049C5F5714Q31064145-0AAB6460-FF50-457A-B389-190B9962D00DQ33201151-7D739484-6245-4A83-82B6-24185575DE49Q33267087-E5F5E784-2A48-4E85-9A32-7584D3EF4F63Q33301937-145151ED-4982-4FD9-9C5D-AEDC66A9018EQ33347416-8E696CB6-6D3B-4C8B-9439-F20C1B31E102Q33506747-BD7A64A1-79ED-4916-81F9-1534293A88C2Q33617355-7F8E801A-6A84-49FF-A142-D99551E469E5Q33894500-804584D9-96D5-4D4B-8191-726EEFE86BFBQ33922952-B0D6537F-43D4-464D-A9EA-002AD2094B78Q33951142-692436F8-BCB1-4CF3-9267-B645B93DBDCFQ33951781-95841FB3-1125-4A4C-9B63-C9D3FAE779C0Q33967613-956A49D3-13CE-4490-8A87-E0B1C6974651Q34074439-8F744DEC-42B9-4C7C-B491-B0743B46BEDDQ34198887-D5C57D3E-F248-4289-9259-89A88BC54381Q34273084-7ACB1EC5-8FEC-46EC-8311-8B93EF51EF57Q34414821-A84065D3-428A-47AE-9270-AF1C993DDE1CQ34443628-9E1BD071-779E-4A18-9359-7C23FA477116Q34948584-96E23397-F2D9-47F2-BBD8-996B12D174B3Q35067889-6E19FFA8-C9B5-4FEE-B31A-6CA61D85D595Q35880159-36C896F6-5683-4556-90FA-1CEA0F5A1767Q37149684-EB9B4D7B-6AFC-44A7-AB92-F9D917BFEE0BQ37283307-3BA09488-8AF7-4E92-ABCA-7407D4D45529Q37349376-0C83EE21-5E50-43BB-9BFE-C360DD4F6E0CQ37424495-70D9A52D-E74A-4DA3-B603-CCA8727048EFQ38201022-B73ADFE6-08AC-4DBC-86E0-BA3A49346659
P2860
Computational method to reduce the search space for directed protein evolution.
description
2001 nî lūn-bûn
@nan
2001 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի մարտին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Computational method to reduce the search space for directed protein evolution.
@ast
Computational method to reduce the search space for directed protein evolution.
@en
type
label
Computational method to reduce the search space for directed protein evolution.
@ast
Computational method to reduce the search space for directed protein evolution.
@en
prefLabel
Computational method to reduce the search space for directed protein evolution.
@ast
Computational method to reduce the search space for directed protein evolution.
@en
P2093
P2860
P356
P1476
Computational method to reduce the search space for directed protein evolution.
@en
P2093
P2860
P304
P356
10.1073/PNAS.051614498
P407
P577
2001-03-01T00:00:00Z