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.
Group and individual projects developed for the Design of Biomedical Websites course (UPF & UB, 2025–26).
Disease–Gene–Protein–Ligand search tool. Flask web app integrating KEGG, UniProt, and PubChem APIs with parallel processing and CSV export.
Multiple sequence alignment web interface. Accepts FASTA text, UniProt IDs, PDB IDs, or file upload. Supports Clustal, FASTA, and Phylip output formats.
Relational database schema for pseudonymised clinical trial participants, longitudinal measurements, and role-based access control. ER diagram and MySQL implementation.
Individual deliverables completed for the DBW course.
Multiple sequence alignment tool built with Flask and ClustalOmega. Accepts FASTA text, UniProt IDs, PDB IDs, and file uploads. Outputs alignment in Clustal, FASTA, or Phylip format.
Relational data model for a hospital clinical trials system. Covers pseudonymised participants, longitudinal data (items & files), variable definitions, and role-based access. Delivered as an ER diagram and MySQL schema.
Open to research collaborations, internship opportunities, and discussions around structural bioinformatics, drug discovery, or NGS analysis.