Shrikant Subhash Mantri

The paper identifies 277 putative biosynthetic gene clusters for benzoxazolinate-like molecules through genome mining and presents a neural network model for detecting rare BGCs.

BGX is a pipeline for genomic analysis that integrates tools for antimicrobial resistance profiling, biosynthetic gene cluster detection, and bioactivity prediction across microbial genomes.

This paper introduces NPBdetect, a neural network-based tool for predicting bioactivity from biosynthetic gene clusters, showing improved performance over existing methods.

The paper introduces the BGC Atlas, a web resource that explores BGC diversity in metagenomes, identifying nearly 1.8 million BGCs and showing RiPPs as the most abundant compound class.

The paper uses WGBS to analyze DNA methylation changes during adipocyte differentiation and identifies context-dependent gene expression related to DMRs.