BindN / BindN+ / BindN-RF
BindN applies support vector machines (SVMs) to prediction of DNA and RNA-binding residues from sequence features, including the side chain pKa value, hydrophobicity index and molecular mass of an amino acid.
BindN+, an upgraded version of BindN, applies support vector machines (SVMs) to sequence-based prediction of DNA or RNA-binding residues from biochemical features and evolutionary information.
BindN-RF applies Random Forests (RFs) to sequence-based prediction of DNA-binding residues in proteins using biochemical features and evolutionary information.
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Wang, L. and Brown, S.J. (2006)
BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences.
Nucleic Acids Res., 34:W243-W248.
BMC Syst Biol. 2010 May 28;4 Suppl 1:S3. doi: 10.1186/1752-0509-4-S1-S3.
BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features.
Wang L1, Huang C, Yang MQ, Yang JY.
BMC Genomics. 2009 Jul 7;10 Suppl 1:S1. doi: 10.1186/1471-2164-10-S1-S1.
Prediction of DNA-binding residues from protein sequence information using random forests.
Wang L1, Yang MQ, Yang JY.