Palash Sethi

The paper shows that synthesis cost minimization drives convergent amino acid changes in plastid ribosomal proteins across plant lineages with relaxed selection.

This study introduces pVEP, a framework showing how genetic background affects AI predictions of variant effects, revealing variant effects vary across haplotypes.

BacPT, a proteome foundation model, improves predictions of bacterial enzyme activities, biosynthetic clusters, metabolic traits, and ecological interactions using unsupervised deep learning.

This paper introduces a whole bacterial proteome foundation model trained on ESM embeddings to capture gene interactions and genomic integrity, achieving state-of-the-art results in operon identification and genotype-phenotype mapping.

This study shows that the CRISPR-Cas system in Salmonella enhances virulence by regulating virulence factor expression.

This study introduces an interpretable neural network to analyze higher-order epistasis in protein sequence-function relationships, finding that higher-order interactions contribute up to 60% of the epistatic variance.