Célio Dias Santos Júnior

The paper constructs a deep-sea small protein atlas, identifies noncanonical antimicrobial peptides, and demonstrates their antimicrobial efficacy and non-lytic mechanisms.

The paper constructs a global microbial small ORFs catalogue and identifies a tool for annotating small proteins in microbial genomes.

The paper uses machine learning to predict antimicrobial peptides from microbiome data, identifies novel peptides, and validates their antibacterial activity against drug-resistant pathogens.

MACREL identifies high-quality antimicrobial peptide candidates from genomes and metagenomes using a novel set of peptide features and classifiers.