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Article
Open AccessCharacterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes
Protein-protein interactions (PPIs) are involved in various biological processes, and underlying mechanism of the interactions plays a crucial role in therapeutics and protein engineering. Most machine learnin...
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Article
Open AccessPrediction and analysis of protein solubility using a novel scoring card method with dipeptide composition
Existing methods for predicting protein solubility on overexpression in Escherichia coli advance performance by using ensemble classifiers such as two-stage support vector machine (SVM) based classifiers and a nu...
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Article
Open AccessPredicting and analyzing DNA-binding domains using a systematic approach to identifying a set of informative physicochemical and biochemical properties
Existing methods of predicting DNA-binding proteins used valuable features of physicochemical properties to design support vector machine (SVM) based classifiers. Generally, selection of physicochemical proper...
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Article
Open AccessProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization
Gene Ontology (GO) annotation, which describes the function of genes and gene products across species, has recently been used to predict protein subcellular and subnuclear localization. Existing GO-based predi...