Softwares developed by myself and co-workers ...
This is a sequence-based hot spot residue predictor through
physicochemical characteristics of amino acids.
Peng Chen, Jinyan Li, Limsoon Wong, Jianhua Huang, and Xin Gao,
Accurate prediction of hot spot residues through physicochemical
characteristics of amino acid sequences, PROTEINS: Structure,
Function, and Bioinformatics. 2013, 81(8):1351-62.
LigandRFs is a random forest-based approach to predict
protein-ligand binding sites.
Peng Chen, Jianhua Huang, and Xin Gao, LigandRFs: predict
ligand-binding sites from sequence information through
random forests. BMC Bioinformatics, Accepted.
Peng Chen, Limsoon Wong, Jinyan Li, Outlier detection: a
challenge to clean interface data in protein
hetero-complexes and the application, IEEE Transactions on
Computational Biology and Bioinformatics, 2012,
Peng Chen, Jinyan Li, Sequence-based identification of
interface residues by an integrative profile combining
hydrophobic and evolutionary information, BMC
Peng Chen, Chunmei Liu, Legand Burge, Jinyan Li, Mahmood
Mohanmad, Bill Southerland, and Clay Gloster, DomSVR: Domain
Boundary Prediction with Support Vector Regression from
sequence information Alone, Amino Acids, 2010, 39(3),
Peng Chen, Jinyan Li, Prediction of Protein Long-Range
Contacts Using an Ensemble of Genetic Algorithm Classifiers
with Sequence Profile Centers, BMC Structural Biology, 2010,
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