Biomedical Informatics Lab Department of Applied Sciences Indian Institute of Information Technology, Allahabad An Institute Of National Importance Under Ministry of Education, Govt. of India Deoghat, Jhalwa, Prayagraj - 211015

Tapobrata Lahiri, Ph.D.	Affiliation	Courses
	Professor, Department of Applied Sciences Former, Dean (Academics & Research) Biomedical Informatics Lab Room No. 4302, CC2 Building Indian Institute of Information Technology, Allahabad Prayagraj-211002, UP, India Email: tlahiri@iiita.ac.in Telephone: +91-532-2922254(O) / 2242(L)	Data engineering for molecular structure prediction Machine Learning for Biological Systems

Thrust areas of research and academics

1. Machine Learning and systems engineering applications in structural proteomics and medical diagnostics.

2. Data science application in improving protein structure prediction and characterization of intrinsically disordered proteins (a Beyond Google AlphaFold approach)

3. Application of Numerical Analysis Techniques (Machine Learning, Artificial Intelligence, Optimization, Systems Modelling and Simulation, Fractal Dimensional Analysis) to improve Prediction and Automatic Expert/Diagnostic Models for Biomedical area using data/feature extracted from mainly Digital Image and Signal Processing.

Selected publications (Journals)

1. Chaurasiya, D., Mondal, R., Lahiri, T., Tripathi, A., & Ghinmine, T. (2025). IDPpred: a new sequence-based predictor for identification of intrinsically disordered protein with enhanced accuracy. Journal of Biomolecular Structure and Dynamics, 1-9. https://doi.org/10.1080/07391102.2023.2290615

2. Tripathi A, Mondal R, Mandal M, Lahiri T, Pal MK. A Structural Proteomics Exploration of Synphilin-1 and Alpha-Synuclein Interaction in Pathogenesis of Parkinson’s Disease. Biomolecules. 2024; 14(12):1588. https://doi.org/10.3390/biom14121588

3. Kumar, R., Mondal, R., Lahiri, T. et al. Application of sequence semantic and integrated cellular geography approach to study alternative biogenesis of exonic circular RNA. BMC Bioinformatics 24, 148 (2023). https://doi.org/10.1186/s12859-023-05279-z

4. A. Tripathi, R. Mondal, T. Lahiri, D. Chaurasiya and M. K. Pal, "TemPred: A Novel Protein Template Search Engine to Improve Protein Structure Prediction," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 20, no. 3, pp. 2112-2121, 1 May-June 2023, doi: 10.1109/TCBB.2022.3233846.

5. G. Kumar et al., "APT: An Automated Probe Tracker from Gene Expression Data," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 18, no. 5, pp. 1864-1874, 1 Sept.-Oct. 2021, doi: 10.1109/TCBB.2019.2958345

6. Pal, M.K., Lahiri, T. & Kumar, R. ProtPCV: A Fixed Dimensional Numerical Representation of Protein Sequence to Significantly Reduce Sequence Search Time. Interdiscip Sci Comput Life Sci 12, 276-287 (2020). https://doi.org/10.1007/s12539-020-00380-w