A machine learning approach for ranking clusters of docked protein-protein complexes by pairwise cluster comparison.
about
Disentangling constraints using viability evolution principles in integrative modeling of macromolecular assembliesProtein docking refinement by convex underestimation in the low-dimensional subspace of encounter complexes.Predicting improved protein conformations with a temporal deep recurrent neural network
P2860
A machine learning approach for ranking clusters of docked protein-protein complexes by pairwise cluster comparison.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
A machine learning approach fo ...... y pairwise cluster comparison.
@en
A machine learning approach fo ...... y pairwise cluster comparison.
@nl
type
label
A machine learning approach fo ...... y pairwise cluster comparison.
@en
A machine learning approach fo ...... y pairwise cluster comparison.
@nl
prefLabel
A machine learning approach fo ...... y pairwise cluster comparison.
@en
A machine learning approach fo ...... y pairwise cluster comparison.
@nl
P2093
P2860
P356
P1433
P1476
A machine learning approach fo ...... y pairwise cluster comparison.
@en
P2093
Erik Pfeiffenberger
Iain H Moal
Raphael A G Chaleil
P2860
P304
P356
10.1002/PROT.25218
P407
P577
2016-12-09T00:00:00Z