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Wrapper-method to select sub-set of features for classifying antimicrobial peptides
Essential Amino Acids are analyzed in their free form, proteomes and foods
Computer-based method to identify antimicrobial peptides embedded within proteins
Fraction of complete self-interactome
This repository includes all supplemental material for the publication entitled "Heterologous machine learning for the identification of antimicrobial activity in human-targeted drugs", by Rodrigo A. Nava Lara and collaborators, submitted to Molecules.
Codes developed to compute different structural features of transmembrane and globular proteins
Supplementary material for the work entitled "Heterologous machine-learning classification of polypharmacologic human-targeted and antimicrobial chemical compounds" by Rodrigo A. Nava Lara, Jesus A. Beltran, Carlos A. Brizuela and Gabriel Del Rio
This repositry includes the supplementary material for the publication entitled "Protein-Protein interactions efficiently modeled by residue cluster classes" by Albros Hermes Poot Velez, Fernando Fontove and Gabriel Del Rio
Machine-learning based prediction of protein-protein interactions phosphorylation-state dependent
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