SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.
about
Prodepth: predict residue depth by support vector regression approach from protein sequences onlyMolecular mechanisms of disease-causing missense mutationsPSSP-RFE: accurate prediction of protein structural class by recursive feature extraction from PSI-BLAST profile, physical-chemical property and functional annotationsA strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.Proposing a highly accurate protein structural class predictor using segmentation-based features.Customised fragments libraries for protein structure prediction based on structural class annotations.iFC²: an integrated web-server for improved prediction of protein structural class, fold type, and secondary structure content.In silico Mapping of Protein Unfolding Mutations for Inherited DiseaseDataset of eye disease-related proteins analyzed using the unfolding mutation screen.Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM.Amino acid distribution rules predict protein fold.Integrative approaches to the prediction of protein functions based on the feature selection.Protein-segment universe exhibiting transitions at intermediate segment length in conformational subspaces.Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences.Prediction of protein structural classes for low-homology sequences based on predicted secondary structure.Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features.Accurate prediction of protein structural class.Comparison study on statistical features of predicted secondary structures for protein structural class prediction: From content to position.Prediction of Protein Structural Classes for Low-Similarity Sequences Based on Consensus Sequence and Segmented PSSM.Prediction of Protein Structural Class Based on Gapped-Dipeptides and a Recursive Feature Selection Approach.Structural classification of proteins using texture descriptors extracted from the cellular automata image.O-GlcNAcPRED: a sensitive predictor to capture protein O-GlcNAcylation sites.The prediction of protein structural class using averaged chemical shifts.Learning protein multi-view features in complex space.CIPPN: computational identification of protein pupylation sites by using neural network.Improving taxonomy-based protein fold recognition by using global and local features.A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure.Prediction of protein structural classes based on feature selection technique.SVM-based method for protein structural class prediction using secondary structural content and structural information of amino acids.Accurate prediction of protein structural class using auto covariance transformation of PSI-BLAST profiles.A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier
P2860
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P2860
SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.
description
2008 nî lūn-bûn
@nan
2008 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
SCPRED: accurate prediction of ...... ity with predicting sequences.
@ast
SCPRED: accurate prediction of ...... ity with predicting sequences.
@en
type
label
SCPRED: accurate prediction of ...... ity with predicting sequences.
@ast
SCPRED: accurate prediction of ...... ity with predicting sequences.
@en
prefLabel
SCPRED: accurate prediction of ...... ity with predicting sequences.
@ast
SCPRED: accurate prediction of ...... ity with predicting sequences.
@en
P2860
P356
P1433
P1476
SCPRED: accurate prediction of ...... ity with predicting sequences.
@en
P2093
Krzysztof Cios
P2860
P2888
P356
10.1186/1471-2105-9-226
P577
2008-05-01T00:00:00Z
P5875
P6179
1010380235