CRF-based models of protein surfaces improve protein-protein interaction site predictions
about
Progress and challenges in predicting protein interfacesCombining features in a graphical model to predict protein binding sites.Utilizing knowledge base of amino acids structural neighborhoods to predict protein-protein interaction sites.IDP⁻CRF: Intrinsically Disordered Protein/Region Identification Based on Conditional Random Fields
P2860
CRF-based models of protein surfaces improve protein-protein interaction site predictions
description
2014 nî lūn-bûn
@nan
2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
CRF-based models of protein surfaces improve protein-protein interaction site predictions
@ast
CRF-based models of protein surfaces improve protein-protein interaction site predictions
@en
type
label
CRF-based models of protein surfaces improve protein-protein interaction site predictions
@ast
CRF-based models of protein surfaces improve protein-protein interaction site predictions
@en
prefLabel
CRF-based models of protein surfaces improve protein-protein interaction site predictions
@ast
CRF-based models of protein surfaces improve protein-protein interaction site predictions
@en
P2093
P2860
P356
P1433
P1476
CRF-based models of protein surfaces improve protein-protein interaction site predictions
@en
P2093
Mario Stanke
Marlon Welter
Stephan Waack
Torsten Wierschin
Truong Khanh Linh Dang
Zhijie Dong
P2860
P2888
P356
10.1186/1471-2105-15-277
P577
2014-08-13T00:00:00Z
P5875
P6179
1053394216