about
Phylogenetic analyses: A toolbox expanding towards Bayesian methodsRoles of solvent accessibility and gene expression in modeling protein sequence evolutionSelection on protein structure, interaction, and sequence.Statistical potentials for improved structurally constrained evolutionary models.Fast optimization of statistical potentials for structurally constrained phylogenetic models.Quantifying the impact of dependent evolution among sites in phylogenetic inferenceExploring fast computational strategies for probabilistic phylogenetic analysis.Estimates of natural selection due to protein tertiary structure inform the ancestry of biallelic loci.Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.Efficient Parameter Estimation of Generalizable Coarse-Grained Protein Force Fields Using Contrastive Divergence: A Maximum Likelihood Approach.Characterizing gene family evolutionProtein:Ligand binding free energies: A stringent test for computational protein design
P2860
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P2860
description
2006 nî lūn-bûn
@nan
2006 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
A maximum likelihood framework for protein design.
@ast
A maximum likelihood framework for protein design.
@en
type
label
A maximum likelihood framework for protein design.
@ast
A maximum likelihood framework for protein design.
@en
prefLabel
A maximum likelihood framework for protein design.
@ast
A maximum likelihood framework for protein design.
@en
P2093
P2860
P356
P1433
P1476
A maximum likelihood framework for protein design.
@en
P2093
Cécile Bonnard
Hervé Philippe
Nicolas Lartillot
Nicolas Rodrigue
P2860
P2888
P356
10.1186/1471-2105-7-326
P577
2006-06-29T00:00:00Z
P5875
P6179
1044488880