A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.
about
Proposing a highly accurate protein structural class predictor using segmentation-based features.Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information.Gram-positive and Gram-negative subcellular localization using rotation forest and physicochemical-based featuresPredicting MoRFs in protein sequences using HMM profiles.Protein folds recognized by an intelligent predictor based-on evolutionary and structural information.HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features.Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams.
P2860
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P2860
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
A strategy to select suitable ...... for protein fold recognition.
@ast
A strategy to select suitable ...... for protein fold recognition.
@en
type
label
A strategy to select suitable ...... for protein fold recognition.
@ast
A strategy to select suitable ...... for protein fold recognition.
@en
prefLabel
A strategy to select suitable ...... for protein fold recognition.
@ast
A strategy to select suitable ...... for protein fold recognition.
@en
P2093
P2860
P356
P1433
P1476
A strategy to select suitable ...... for protein fold recognition.
@en
P2093
Abdollah Dehzangi
James Lyons
Kuldip K Paliwal
Satoru Miyano
Seiya Imoto
P2860
P2888
P356
10.1186/1471-2105-14-233
P50
P577
2013-07-24T00:00:00Z
P5875
P6179
1052570168