Prediction of protein surface accessibility with information theory.
about
A structure filter for the Eukaryotic Linear Motif Resource.Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiersPrediction of solvent accessibility and sites of deleterious mutations from protein sequence.TMBETA-NET: discrimination and prediction of membrane spanning beta-strands in outer membrane proteins.Analysis of accessible surface of residues in proteinsPrediction of coordination number and relative solvent accessibility in proteins.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 schemeFast and Accurate Accessible Surface Area Prediction Without a Sequence Profile.Accessible surface area from NMR chemical shifts.Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information.Peak intensity prediction in MALDI-TOF mass spectrometry: a machine learning study to support quantitative proteomicsReal value prediction of protein solvent accessibility using enhanced PSSM featuresContext dependent reference states of solvent accessibility derived from native protein structures and assessed by predictability analysis.Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences.Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach.Prediction of functionally important residues in globular proteins from unusual central distances of amino acids.Evidence for water-tuned structural differences in proteins: an approach emphasizing variations in local hydrophilicity.An approach to crystallizing proteins by synthetic symmetrization.PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility.HemoPred: a web server for predicting the hemolytic activity of peptides.Combining sequence and structural profiles for protein solvent accessibility prediction.Predictions of Cleavability of Calpain Proteolysis by Quantitative Structure-Activity Relationship Analysis Using Newly Determined Cleavage Sites and Catalytic Efficiencies of an Oligopeptide Array.Logistic regression models to predict solvent accessible residues using sequence- and homology-based qualitative and quantitative descriptors applied to a domain-complete X-ray structure learning set.50 years of amino acid hydrophobicity scales: revisiting the capacity for peptide classification.Prediction of protein solvent accessibility using support vector machines.Sann: solvent accessibility prediction of proteins by nearest neighbor method.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.Prediction of strand pairing in antiparallel and parallel beta-sheets using information theory.Protein binding hot spots prediction from sequence only by a new ensemble learning method.Prediction of protein secondary structure based on residue pair types and conformational states using dynamic programming algorithm.Bias-Exchange Metadynamics Simulation of Membrane Permeation of 20 Amino Acids.Protein Solvent-Accessibility Prediction by a Stacked Deep Bidirectional Recurrent Neural Network.Prediction and analysis of surface hydrophobic residues in tertiary structure of proteins.Application of fourier transform and proteochemometrics principles to protein engineeringPrediction of One-Dimensional Structural Properties Of Proteins by Integrated Neural Networks
P2860
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P2860
Prediction of protein surface accessibility with information theory.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh-hant
name
Prediction of protein surface accessibility with information theory.
@en
Prediction of protein surface accessibility with information theory.
@nl
type
label
Prediction of protein surface accessibility with information theory.
@en
Prediction of protein surface accessibility with information theory.
@nl
prefLabel
Prediction of protein surface accessibility with information theory.
@en
Prediction of protein surface accessibility with information theory.
@nl
P2093
P2860
P1433
P1476
Prediction of protein surface accessibility with information theory
@en
P2093
Moosavi Movahedi AA
Naderi-Manesh H
P2860
P304
P356
10.1002/1097-0134(20010301)42:4<452::AID-PROT40>3.0.CO;2-Q
P407
P577
2001-03-01T00:00:00Z