Abstract：
:Due to the importance of hot-spots (HS) detection and the efficiency of computational methodologies, several HS detecting approaches have been developed. The current paper presents new models to predict HS for protein-protein and protein-nucleic acid interactions with better statistics compared with the ones currently reported in literature. These models are based on solvent accessible surface area (SASA) and genetic conservation features subjected to simple Bayes networks (protein-protein systems) and a more complex multi-objective genetic algorithm-support vector machine algorithms (protein-nucleic acid systems). The best models for these interactions have been implemented in two free Web tools.
journal_name
J Chem Inf Modeljournal_title
Journal of chemical information and modelingauthors
Munteanu CR,Pimenta AC,Fernandez-Lozano C,Melo A,Cordeiro MN,Moreira ISdoi
10.1021/ci500760msubject
Has Abstractpub_date
2015-05-26 00:00:00pages
1077-86issue
5eissn
1549-9596issn
1549-960Xjournal_volume
55pub_type
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