Sintu Kumar Samanta

The paper identifies accessory genes and network interactions that activate resistance genes in imipenem-resistant Pseudomonas aeruginosa strains.

The paper analyzes gut microbial proteins in IBD patients to identify molecular mimicry of the human proteome, finding distinct mimicry patterns in CD and UC subtypes.

This study identifies human gut microbiome-derived antimicrobial peptides that target Pseudomonas aeruginosa biofilm-specific lectins, showing potent antibiofilm activity.

This study analyzes the evolutionary patterns of beta-lactamases (BLs) using phylogenetics and protein interactions, revealing distinct chromosomal and plasmid-encoded BL evolution and the mosaic role of VIM linking NDM and IMP.

AIPID is a web platform that uses a MAD-ML model to identify anti-inflammatory peptides with high accuracy, outperforming existing models and correctly predicting most experimentally validated AIPs.

The paper investigates how phenylalanine and lysine repeats affect peptide binding to VIM-2 metallo-beta-lactamase, finding that F repeats stabilize complexes and enhance binding when balanced with K residues.