Accurate single-sequence prediction of solvent accessible surface area using local and global features

scientific article

Accurate single-sequence prediction of solvent accessible surface area using local and global features is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1002/PROT.24682
P932PMC publication ID4307928
P698PubMed publication ID25204636
P5875ResearchGate publication ID265514451

P50authorAndrzej KloczkowskiQ118958796
Yaoqi ZhouQ37372227
P2093author name stringEshel Faraggi
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Solvent accessible surface area approximations for rapid and accurate protein structure prediction.Q30375090
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Prediction and evolutionary information analysis of protein solvent accessibility using multiple linear regressionQ51353182
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Analysis and prediction of RNA-binding residues using sequence, evolutionary conservation, and predicted secondary structure and solvent accessibilityQ51652208
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P433issue11
P407language of work or nameEnglishQ1860
P921main subjectAccessible surface areaQ3622068
P304page(s)3170-3176
P577publication date2014-09-25
P1433published inProteinsQ7251514
P1476titleAccurate single-sequence prediction of solvent accessible surface area using local and global features
P478volume82

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Q29306580FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface Residues
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Q40214668Logistic 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.
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Q90064926SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences
Q91708289Sequence-Derived Markers of Drug Targets and Potentially Druggable Human Proteins

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