NeBcon: Protein contact map prediction using neural network training coupled with naïve Bayes classifiers.
about
Approaches to ab initio molecular replacement of α-helical transmembrane proteins.Template-based and free modeling of I-TASSER and QUARK pipelines using predicted contact maps in CASP12.Identification of residue pairing in interacting β-strands from a predicted residue contact map.Contact prediction is hardest for the most informative contacts, but improves with the incorporation of contact potentials.ComplexContact: a web server for inter-protein contact prediction using deep learning.
P2860
NeBcon: Protein contact map prediction using neural network training coupled with naïve Bayes classifiers.
description
2017 nî lūn-bûn
@nan
2017 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի մարտին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
NeBcon: Protein contact map pr ...... with naïve Bayes classifiers.
@ast
NeBcon: Protein contact map pr ...... with naïve Bayes classifiers.
@en
type
label
NeBcon: Protein contact map pr ...... with naïve Bayes classifiers.
@ast
NeBcon: Protein contact map pr ...... with naïve Bayes classifiers.
@en
prefLabel
NeBcon: Protein contact map pr ...... with naïve Bayes classifiers.
@ast
NeBcon: Protein contact map pr ...... with naïve Bayes classifiers.
@en
P2093
P2860
P356
P1433
P1476
NeBcon: Protein contact map pr ...... with naïve Bayes classifiers.
@en
P2093
Hong-Bin Shen
S M Mortuza
Yang Zhang
Yanting Wang
P2860
P356
10.1093/BIOINFORMATICS/BTX164
P407
P577
2017-03-28T00:00:00Z