Octávio Luiz Franco

This paper introduces a new antimicrobial activity predictor called 'Sense the Moment' that outperforms deep-learning methods in distinguishing antimicrobial peptides from shuffled versions.

The paper investigates the structural effects of two rare point mutations in amylin, finding both mutations affect aggregation potential and suggest therapeutic implications for type II diabetes.

The paper identifies two class II defensin sequences in Arabidopsis thaliana and suggests their potential presence in other eudicots.

The paper demonstrates the broad-spectrum antibacterial activity of EcDBS1R6, a peptide derived from an Escherichia coli signal peptide modified using the Joker algorithm.

The paper evaluates 20 SNP prediction tools on CYP2D6 missense variants, finding FATHMM performs best with a Matthews correlation coefficient of 0.39.