Improving the performance of β-turn prediction using predicted shape strings and a two-layer support vector machine model
about
NMRDSP: an accurate prediction of protein shape strings from NMR chemical shifts and sequence dataAdvances in the Prediction of Turn Structures in Peptides and Proteins.Accurate prediction of protein relative solvent accessibility using a balanced model.Retrieving backbone string neighbors provides insights into structural modeling of membrane proteins.DSP: a protein shape string and its profile prediction server.Predicting turns in proteins with a unified model.DomHR: accurately identifying domain boundaries in proteins using a hinge region strategy.Predicting beta-turns in proteins using support vector machines with fractional polynomials.A novel hybrid method of beta-turn identification in protein using binary logistic regression and neural network.Type I and II β-turns prediction using NMR chemical shifts.
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P2860
Improving the performance of β-turn prediction using predicted shape strings and a two-layer support vector machine model
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
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2011年学术文章
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2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
name
Improving the performance of β ...... r support vector machine model
@ast
Improving the performance of β ...... r support vector machine model
@en
type
label
Improving the performance of β ...... r support vector machine model
@ast
Improving the performance of β ...... r support vector machine model
@en
prefLabel
Improving the performance of β ...... r support vector machine model
@ast
Improving the performance of β ...... r support vector machine model
@en
P2093
P2860
P356
P1433
P1476
Improving the performance of β ...... r support vector machine model
@en
P2093
Guanyan Chen
Jiangming Sun
Tonghua Li
Yaojuan Zhu
Zehui Tang
P2860
P2888
P356
10.1186/1471-2105-12-283
P50
P577
2011-07-13T00:00:00Z
P5875
P6179
1024270152