Prediction of protein relative solvent accessibility with a two-stage SVM approach.
about
Prediction of the burial status of transmembrane residues of helical membrane proteins.Detecting clusters of mutationsAcconPred: Predicting Solvent Accessibility and Contact Number Simultaneously by a Multitask Learning Framework under the Conditional Neural Fields Model.Scatter-search with support vector machine for prediction of relative solvent accessibility.Improving the performance of β-turn prediction using predicted shape strings and a two-layer support vector machine modelMachine learning techniques in disease forecasting: a case study on rice blast prediction.Accessible surface area from NMR chemical shifts.Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information.Real value prediction of protein solvent accessibility using enhanced PSSM featuresRecognition of interaction interface residues in low-resolution structures of protein assemblies solely from the positions of C(alpha) atoms.Context dependent reference states of solvent accessibility derived from native protein structures and assessed by predictability analysis.TANGLE: two-level support vector regression approach for protein backbone torsion angle prediction from primary sequencesDeciphering the preference and predicting the viability of circular permutations in proteins.An ensemble method for predicting subnuclear localizations from primary protein structures.Maximum allowed solvent accessibilites of residues in proteinsPredicting the errors of predicted local backbone angles and non-local solvent- accessibilities of proteins by deep neural networks.Evaluation of features for catalytic residue prediction in novel folds.Prediction of relative solvent accessibility by support vector regression and best-first method.A sparse autoencoder-based deep neural network for protein solvent accessibility and contact number prediction.Spatial features of proteins related to their phosphorylation and associated structural changes.Protein Solvent-Accessibility Prediction by a Stacked Deep Bidirectional Recurrent Neural Network.
P2860
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P2860
Prediction of protein relative solvent accessibility with a two-stage SVM approach.
description
2005 nî lūn-bûn
@nan
2005 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Prediction of protein relative solvent accessibility with a two-stage SVM approach.
@ast
Prediction of protein relative solvent accessibility with a two-stage SVM approach.
@en
type
label
Prediction of protein relative solvent accessibility with a two-stage SVM approach.
@ast
Prediction of protein relative solvent accessibility with a two-stage SVM approach.
@en
prefLabel
Prediction of protein relative solvent accessibility with a two-stage SVM approach.
@ast
Prediction of protein relative solvent accessibility with a two-stage SVM approach.
@en
P356
P1433
P1476
Prediction of protein relative solvent accessibility with a two-stage SVM approach.
@en
P2093
Jagath C Rajapakse
Minh N Nguyen
P356
10.1002/PROT.20404
P407
P577
2005-04-01T00:00:00Z