AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis.
about
Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints.A Random Forest Model for Predicting Allosteric and Functional Sites on Proteins.A computational study for rational HIV-1 non-nucleoside Reverse Transcriptase inhibitor selection and discovery of novel allosteric pockets for inhibitor design.AlloFinder: a strategy for allosteric modulator discovery and allosterome analyses.
P2860
AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
AlloPred: prediction of allost ...... al mode perturbation analysis.
@ast
AlloPred: prediction of allost ...... al mode perturbation analysis.
@en
type
label
AlloPred: prediction of allost ...... al mode perturbation analysis.
@ast
AlloPred: prediction of allost ...... al mode perturbation analysis.
@en
prefLabel
AlloPred: prediction of allost ...... al mode perturbation analysis.
@ast
AlloPred: prediction of allost ...... al mode perturbation analysis.
@en
P2860
P1433
P1476
AlloPred: prediction of allost ...... al mode perturbation analysis.
@en
P2093
Michael J E Sternberg
P2860
P2888
P356
10.1186/S12859-015-0771-1
P577
2015-10-23T00:00:00Z
P5875
P6179
1037746989