Postdoctoral Researcher @ National Centre for Biological Sciences (NCBS), TIFR, Bangalore
π PhD in Computational Structural Biology @ CSB Lab, IIT Kharagpur
Focused on Structural Bioinformatics, Biomolecular Interactions (Protein-RNA/DNA/Ligand), Macromolecular SASA & Energetics, and Machine Learning in Computational Biology.
- 𧬠Biomolecular Interface Analysis: SASA, Buried Surface Area (BSA), Local Packing Density (LD), Hydrogen Bonding, and Water Bridge Networks in Protein-RNA/DNA/Ligand complexes.
- π» High-Performance Scientific Computing: C/C++ & Python package development for large-scale structural dataset extraction (PDB & mmCIF format processing).
- π€ Machine Learning in Structural Biology: Predictive modeling of Transcription Factor non-redundant datasets (TF-NRD) and macromolecular interaction dynamics.
- π Rotamer & Structural Analysis: Advanced rotamer assignment and conformational analysis in proteins and nucleic acids.
| Repository | Description | Technologies |
|---|---|---|
| π PRince | Modernized C-based automated interface & interaction calculator for Protein-Protein, Protein-RNA, Protein-DNA, and Protein-Ligand complexes (PDB & mmCIF support). | C99, Python, NACCESS, HBPLUS, Bash |
| π TF-NRD Analysis | Transcription Factor Non-Redundant Dataset interface property extraction and multi-sheet analysis suite. | Python, Pandas, OpenPyXL, Biopython |
| π Rota-Assign Utilities | Rotamer assignment, mmCIF duplicate cleaning, and structural reader utilities. | Python, Bio.PDB, mmCIF |
- Languages: C, C++, Python, Bash / Shell Scripting, R
- Bioinformatics & Structural Tools: NACCESS, HBPLUS, PyMOL, DSSP, HSSP, Bio.PDB, OpenMM
- Data Science & ML: NumPy, Pandas, Scikit-learn, PyTorch, Matplotlib, Seaborn
- Development & Build Systems: Git, GitHub Actions, Linux Systems Administration, Makefile, CMake
- ποΈ Current Institution: National Centre for Biological Sciences (NCBS), TIFR, Bangalore
- π Alma Mater: CSB Lab, IIT Kharagpur
- π§ Email: shrikant92pharmacy@gmail.com
- π GitHub Profile: shrikantcombio
"Decoding biomolecular recognition through structure, algorithms, and data."
