I'm Revanth — a bioinformatician with experience in protein structure prediction, molecular dynamics simulations, and computational drug design.
Currently pursuing my MSc in Bioinformatics for Health Sciences at Universitat Pompeu Fabra & Universitat de Barcelona, with coursework in Structural Bioinformatics, Computer-Assisted Drug Discovery, Data Mining & Intelligence, and Databases and Web Design.
From building POPC membrane simulations with CHARMM-GUI to running full RNA-seq pipelines, I turn biological questions into computational answers.
Velhal K., Sah P., Raut R., Yamgar R., Naidu R., Kalra P., Barage S., Lakkakula J., Uddin I. (2025). A novel approach: inclusion complex-capped gold nanoparticles for paclitaxel delivery in triple-negative breast cancer. Medical Oncology, 42, 243.
Contribution: In silico target identification (STRING / Cytoscape), molecular docking of paclitaxel against AKT1, GAPDH, and MMP9 (AutoDock Vina), and 100 ns MD simulations (Schrodinger Maestro / Desmond).
Flask web application integrating KEGG, UniProt, and PubChem APIs. Parallel processing, fuzzy matching, and CSV export. Returns 100+ genes per query in under 60 seconds.
github.com/naidurev/diseasenetFull RNA-seq pipeline on Conus species data to characterise omega-conotoxin peptides. MAFFT alignment; peptide structures simulated against CAV2.2 using Schrodinger Maestro / Desmond.
End-to-end pipeline for multi-domain protein structure prediction via fragment assembly. Validated using Ramachandran plots, Z-scores, and PCA against experimental reference structures.
BLASTP, OrthoFinder ortholog clustering, and MAFFT alignment across 12 vertebrate species. Maximum-likelihood phylogenetic tree built with IQ-TREE.
Full ChIP-seq pipeline: FastQC, Bowtie2 alignment, MACS2 peak calling, and HOMER transcription factor motif enrichment analysis.
Open to research collaborations, internship opportunities, and discussions around structural bioinformatics, drug discovery, or NGS analysis.