Kiran Mukhyala

This study evaluates ML and biophysical models for predicting TCR-pMHC specificity, showing ML struggles with novel peptides while biophysical methods excel but underperform on known ones, leading to a hybrid model with improved performance.

Slivka and Slivka-bio provide a lightweight framework for deploying bioinformatics tools as web services, enabling easy execution of code via HTTP and demonstrating with 15+ protein and RNA analysis tools.

GYDE provides an open-source platform for bench scientists to access AI tools for protein design and drug discovery through a collaborative interface.

The paper evaluates computational tools for accurately inferring HLA alleles and KIR haplotypes from whole-genome or whole-exome sequencing data, showing high accuracy for both tasks.