यह पृष्ठ A4 दस्तावेज़ के रूप में प्रिंट होता है — ब्राउज़र से PDF सहेजें।
Vishal Kumar Sahu
Computational biologist — cancer genomics, drug discovery, and AI-driven prediction
शोध सारांश
Computational biologist with four years of funded research fellowship (CSIR-JRF, then CSIR-SRF) in cancer and translational research, and industry experience building cloud infrastructure for bioinformatics pipelines. Work spans computational drug discovery, molecular dynamics, protein structure prediction, cancer genomics and transcriptomics, and machine learning. Author of 8 peer-reviewed journal articles, 5 book chapters and 5 open-source software tools; h-index 4 with 111 citations.
व्यावसायिक अनुभव
Technical Lead Engineer
- Lead AWS cloud infrastructure for bioinformatics and data pipelines — EC2, S3, Cognito, CodeCommit, CI/CD.
- Design and maintain automated deployment pipelines, environment orchestration, and production debugging.
- Manage relational and NoSQL databases (MySQL, MongoDB) supporting research and application workloads.
- Build RPA and scraping pipelines (Playwright) for large-scale scientific data extraction and processing.
- Apply cloud-native tooling to accelerate research workflows, from data ingestion to model deployment.
Senior Research Fellow (CSIR-SRF)
- Led computational drug discovery — molecular docking (AutoDock Vina, 1,950+ complexes) and MD simulations (GROMACS, up to 300 ns).
- Developed SieveAI, an automated drug discovery pipeline reducing months of manual screening to hours.
- Built ExoLoger (exosomal miRNA prediction) and GMXvg (GROMACS visualization) — published open-source tools.
- Performed protein structure prediction (AlphaFold2, SwissModel, I-TASSER, Rosetta) and MMPBSA binding free-energy analysis.
- Mentored students and internship trainees in pipeline development, automation, and data processing.
Junior Research Fellow (CSIR-JRF)
- Conducted in silico and in vitro cancer research — protein–ligand docking, MD simulation, and cell-based assays.
- Performed genomics and transcriptomics analysis (GEO, TCGA) and differential gene expression studies.
- Validated computational predictions with wet-lab assays (MTT, colony formation, Western blot, qPCR).
- Contributed to peer-reviewed publications on drug synergy, PPAR modulation, and miRNA structural biology.
Programming & Database — Freelance
- Built full-stack applications (React, PHP, Python) and managed relational databases (MySQL, SQLite).
- Developed management systems for schools and coaching institutes — attendance, admissions, fees, certificates.
शिक्षा
MSc Biotechnology — T M Bhagalpur University, Bhagalpur
BSc Biotechnology — CSJM University, Kanpur
Intermediate (Class XII) — JNV, Kanpur Nagar
पुरस्कार एवं अर्हताएँ
CSIR-UGC NET-JRF (Life Sciences) — qualified — Council of Scientific and Industrial Research, India
GATE (Life Sciences) — qualified — IIT/IISc
TIFR — qualified — Tata Institute of Fundamental Research
JNUCEEB — qualified — Jawaharlal Nehru University
प्रकाशन
पुनरीक्षित लेख
Synergistic combination of ritonavir and cisplatin as an efficacious therapy in human cervical cancer cells: a computational drug discovery and in vitro insight
Identification of novel PPAR-β/δ agonists from Kaempferol, Quercetin, and Resveratrol derivatives by targeting cancer: An integrative molecular docking and dynamics simulation approach
miRVim: Three-dimensional miRNA Structure Database
Role of the transmembrane polar residues on CD151 in cholesterol binding
Unveiling theranostic potential: Insights into cell-free microRNA-protein interactions
Pratenol B, Eriodictyol, Losbanine, and Isookanin, as potential EGFR and HRAS inhibitors in oral squamous cell carcinoma
समीक्षाएँ
PPAR-γ Partial Agonists in Disease-Fate Decision with Special Reference to Cancer
Dietary flavonoids as modulators of non-coding RNAs in hormone-associated cancer
पुस्तक अध्याय
AI Techniques and IoT Applications Transforming the Future of Healthcare — Chapter 14
Image processing: an early detection tool for Alzheimer's disease — Chapter 5
Microfluidics-enabled aptamer-based sensing devices — the aptafluidics microdevices — Chapter 8
In Vivo Testing of Biomaterials in Animal Models — Chapter 15
Computational tools for mining microbial genomes and metabolites — Chapter 7
प्रीप्रिंट
- SieveAI: Development of an automated extensible and customisable drug discovery pipeline and its validation — Vishal Kumar Sahu, Anshuman Sand, Sangeeta Ballav, Vajrini Raman, Shuchi Nagar, Amit Ranjan, Soumya Basu — bioRxiv, 2025 · doi:10.1101/2025.04.20.648820
- miRVim: Three-dimensional miRNA Structure Data Server — Vishal Kumar Sahu, Ankita Subhadarsani Parida, Amit Ranjan, Soumya Basu — bioRxiv, 2023 · doi:10.1101/2023.11.29.569154
- Use of In-Silico Tools for Screening a Suitable Phospholipid for Complexation with Lapatinib — Priyanka Sonar, Sangeeta Ballav, Sunil Harer, Vishal Kumar Sahu, Soumya Basu, Karimunnisa Shaikh — SSRN Preprint, 2023 · doi:10.2139/ssrn.4614576
ओपन-सोर्स सॉफ़्टवेयर
- ExoLoger — Prediction of unidentified exosomal microRNAs using machine learning — trained on exosome proteomics data to predict novel miRNA candidates
- SieveAI — An automated drug discovery pipeline integrating AutoDock Vina, SwissADME, and custom scoring functions — reducing months of manual screening to hours
- GMXvg — GROMACS visualization tool for automated analysis of molecular dynamics trajectories — RMSD, RMSF, Rg, and energy plots from .xvg files
- UtilityLib — Unified Python utility library with 200+ reusable functions for file I/O, string manipulation, data structures, and system operations — published on PyPI
- TheBiomics — Drupal-based bioinformatics education platform serving 17,000+ users over 10 years — course management, student dashboards, and content delivery
शोध एवं तकनीकी कौशल
Computational Drug Discovery: AutoDock Vina (1,950+ complexes) · HADDOCK · pyDockWeb · PatchDock · ClusPro · DrugBank & FDA library screening (8K+ conformers)
Molecular Dynamics: GROMACS (up to 300 ns) · MARTINI coarse-grain · CHARMM36 atomistic · CHARMM-GUI · Desmond · MMPBSA binding free energy
Structure Prediction & Analysis: AlphaFold2 · SWISS-MODEL · I-TASSER · Rosetta · ChimeraX · O-GlcNAcylation site prediction
Cancer Genomics & Transcriptomics: GEO mining · TCGA (GDC portal) · Differential expression (PyDGE) · miRNA / ncRNA analysis · Pathway enrichment (KEGG, STRING, FunRich)
Machine Learning: DNN · Random Forest · SVM · XGBoost · SMILES / SMARTS fingerprinting · Model evaluation (AUC, F1, MCC)
Wet Lab: Mammalian cell culture · SDS-PAGE & Western blot · qPCR / RT-PCR · MTT / XTT assays · Colony formation · Apoptosis (Annexin V) · ELISA · Co-immunoprecipitation
Cloud & Engineering: AWS (EC2, S3, Cognito, CodeCommit, CI/CD) · Pipeline automation · Deployment & production debugging · MySQL / MongoDB · Playwright RPA
Programming & Data: Python · R · Bash · JavaScript / TypeScript
प्रोफ़ाइल
ORCID · Google Scholar · ResearchGate · Sci Profiles · Vidwan · LinkedIn · GitHub · PyPI · Stack Overflow