Home > Academics > Academic Units > Faculty of Engineering and Architecture (FoE&A) > Computer Science and Engineering > Pralay Mitra
Ph.D., Indian Institute of Science, Bangalore
Associate Professor
Computer Science and Engineering
We are interested in realizing the biological phenomenon through computational and experimental techniques. The focus is on developing new computational algorithms and tools for biological and clinical investigators. Some of our broad research areas include: Interaction Network in Biology, Protein Design and Stability Analysis, Artificial Intelligence-based Approach to Investigate Cancer Progression, Designing High-throughput Technique for Drug Discovery, Whole Cell Modeling.
Protein Interaction Network-based Deep Learning Framework for Identifying Disease-Associated Human Proteins by Pal B., Mitra P. Journal of Molecular Biology 433 167149- (2021)
An evolution-based approach to de novo protein design and case study on Mycobacterium Tuberculosis by Mitra P., Shultis D. , Brender J. R., Czajka J. , Marsh D. , Gray F. , Cierpicki T. , Zhang Y. PLoS Computational Biology 9 e1003298- (2013)
A Network-based Zoning for Parallel Whole-Cell Simulation by Das B., Patil A. R., Mitra P. Bioinformatics 35 88-94 (2019)
Estimating the Effect of Single Point Mutations on Protein Thermodynamic Stability and Analyzing the Mutation Landscape of the p53 Protein by Banerjee A., Mitra P. Journal of Chemical Information and Modeling 60 3315-3323 (2020)
High-performance Whole-cell Simulation Exploiting Modular Cell Biology Principles by Das B., Mitra P. Journal of Chemical Information and Modeling 61 1481-1492 (2021)
Combining Bayes classification and point group symmetry under Boolean framework for enhanced protein quaternary structure inference by Mitra P., Pal D. Structure 19 304-312 (2011)
Changing the Apoptosis Pathway through Evolutionary Protein Design by Shultis D., Mitra P. , Huang X. , Johnson J. , Khattak N. A., Gray F. , Piper C. , Czajka J. , Hansen L. , Wan B. , Chinnaswamy K. , Liu L. , Wang M. , Pan J. , Stuckey J. , Cierpicki T. , Borchers C. H., Wang S. , Lei M. , Zhang Y. Journal of Molecular Biology 431 825-841 (2019)
Using correlated parameters for improved ranking of protein-protein docking decoys by Mitra P., Pal D. Journal of Computational Chemistry 32 787-796 (2011)
New measures for estimating surface complementarity and packing at protein-protein interfaces by Mitra P., Pal D. FEBS Letters 584 1163-1168 (2010)
Designing a reverse vaccinology approach in the construction of a multi-epitope vaccine candidate against the bacterium Neisseria meningitides-mediated glioblastoma Department of Science and Technology and Biotechnology
AI-based Personalized Drug Repurposing using Single-Cell Multi-Omics Data IIT KHARAGPUR AI4ICPS I HUB FOUNDATION
Artificial Intelligence-Assisted Glycopolymer-Based Mucoadhesive Nanogel for Targeting Cervical Tumor Microenvironment Scheme for Promotion of Academic and Research Collaboration (SPARC), Apex Committee of SPARC
Shubhrangshu Ghosh
Area of Research: Bioinformatics
Dibya Kanti Haldar
Area of Research: Application of Machine Learning in Bioinformatics
Somarpita Dutta
Area of Research: Application of Machine Learning in Bioinformatics
Purnima Gautam
Area of Research: Bioinformatics
Suvendu Nandi
Area of Research: Cancer Drug Discovery
Animesh
Area of Research: Graph Machine Learning
Nandita Sharma
Area of Research: Machine learning in Bioinformatics
Shruti Agrawal
Area of Research: Machine learning in Bioinformatics
Suman Kumar Bera
Area of Research: Machine learning in Bioinformatics
Soumyadeep Bhaduri
Area of Research: Computational Vaccinology
Debraj Das
Area of Research: Computational Biology and Bioinformatics
Saranagata Kundu
Area of Research: Computational Biology and Bioinformatics
Saumya Jaiswal
Area of Research: Computational Biology and Bioinformatics
Sk Salim Ali
Area of Research: Computational Biology and Bioinformatics
Ritik Kumar
Area of Research: Computational Biology and Bioinformatics
