Computationally mapping sequence space to understand evolutionary protein engineering.
about
Enhancing the efficiency of directed evolution in focused enzyme libraries by the adaptive substituent reordering algorithm.Applying physics-based scoring to calculate free energies of binding for single amino acid mutations in protein-protein complexesSynthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.
P2860
Computationally mapping sequence space to understand evolutionary protein engineering.
description
2007 nî lūn-bûn
@nan
2007 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
name
Computationally mapping sequence space to understand evolutionary protein engineering.
@ast
Computationally mapping sequence space to understand evolutionary protein engineering.
@en
type
label
Computationally mapping sequence space to understand evolutionary protein engineering.
@ast
Computationally mapping sequence space to understand evolutionary protein engineering.
@en
prefLabel
Computationally mapping sequence space to understand evolutionary protein engineering.
@ast
Computationally mapping sequence space to understand evolutionary protein engineering.
@en
P2860
P356
P1476
Computationally mapping sequence space to understand evolutionary protein engineering
@en
P2093
Kathryn A Armstrong
P2860
P356
10.1021/BP070134H
P50
P577
2007-11-17T00:00:00Z