Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure.
about
In silico platform for prediction of N-, O- and C-glycosites in eukaryotic protein sequencesIdentification of NAD interacting residues in proteinsHighly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteinsProtein-RNA interface residue prediction using machine learning: an assessment of the state of the artAccurate single-sequence prediction of solvent accessible surface area using local and global featuresPrediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments.Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.AcconPred: 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.Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window schemeiFC²: an integrated web-server for improved prediction of protein structural class, fold type, and secondary structure content.Fast and Accurate Accessible Surface Area Prediction Without a Sequence Profile.Improving prediction of burial state of residues by exploiting correlation among residuesCapturing Non-Local Interactions by Long Short Term Memory Bidirectional Recurrent Neural Networks for Improving Prediction of Protein Secondary Structure, Backbone Angles, Contact Numbers, and Solvent Accessibility.Accessible surface area from NMR chemical shifts.VirulentPred: a SVM based prediction method for virulent proteins in bacterial pathogensSequence based residue depth prediction using evolutionary information and predicted secondary structureESLpred2: improved method for predicting subcellular localization of eukaryotic proteins.Real value prediction of protein solvent accessibility using enhanced PSSM featuresA generic method for assignment of reliability scores applied to solvent accessibility predictions.Integrated prediction of one-dimensional structural features and their relationships with conformational flexibility in helical membrane proteins.GlycoPP: a webserver for prediction of N- and O-glycosites in prokaryotic protein sequences.Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information.Effective identification of Gram-negative bacterial type III secreted effectors using position-specific residue conservation profiles.PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility.Molecular Dynamics Driven Design of pH-Stabilized Mutants of MNEI, a Sweet ProteinA hydrophobic spine stabilizes a surface-exposed α-helix according to analysis of the solvent-accessible surface area.Improving the prediction accuracy of residue solvent accessibility and real-value backbone torsion angles of proteins by guided-learning through a two-layer neural network.Knowledge-based computational intelligence development for predicting protein secondary structures from sequences.Epitope Mapping of Rhi o 1 and Generation of a Hypoallergenic Variant: A CANDIDATE MOLECULE FOR FUNGAL ALLERGY VACCINES.Combining sequence and structural profiles for protein solvent accessibility prediction.HHsenser: exhaustive transitive profile search using HMM-HMM comparison.Comprehensively designed consensus of standalone secondary structure predictors improves Q3 by over 3%.Feature selection and classification of protein-protein complexes based on their binding affinities using machine learning approaches.Sann: solvent accessibility prediction of proteins by nearest neighbor method.Prediction of relative solvent accessibility by support vector regression and best-first method.Improved sequence-based prediction of strand residues.Cytotoxic T lymphocyte antigen 4 (CTLA4) gene polymorphism with bladder cancer risk in North Indian population.Protein Solvent-Accessibility Prediction by a Stacked Deep Bidirectional Recurrent Neural Network.Prediction of One-Dimensional Structural Properties Of Proteins by Integrated Neural Networks
P2860
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P2860
Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Real value prediction of solve ...... nment and secondary structure.
@en
Real value prediction of solve ...... nment and secondary structure.
@nl
type
label
Real value prediction of solve ...... nment and secondary structure.
@en
Real value prediction of solve ...... nment and secondary structure.
@nl
prefLabel
Real value prediction of solve ...... nment and secondary structure.
@en
Real value prediction of solve ...... nment and secondary structure.
@nl
P356
P1433
P1476
Real value prediction of solve ...... gnment and secondary structure
@en
P2093
Aarti Garg
Harpreet Kaur
P304
P356
10.1002/PROT.20630
P407
P577
2005-11-01T00:00:00Z