William Farias Porto

In silico assessment of missense point mutations on human cathelicidin LL-37

The paper assesses the impact of missense mutations on human LL-37 structure and antimicrobial activity using computational methods, finding some mutations may reduce activity and contribute to inflammatory diseases.

Sense the Moment: a highly sensitive antimicrobial activity predictor based on hydrophobic moment

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

Structural effects driven by rare point mutations in amylin hormone, the type II diabetes-associated peptide

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.

In silico Characterization of Class II Plant Defensins from Arabidopsis thaliana

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

EcDBS1R6: A new broad-spectrum cationic antibacterial peptide derived from a signal peptide sequence

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

Benchmarking analysis of deleterious SNP prediction tools on CYP2D6 enzyme

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