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)
Therapeutic targeting of RBPJ, an upstream regulator of ETV6 gene, abrogates ETV6-NTRK3 fusion gene transformations in glioblastoma by Biswas A., Rajesh Y. , Das S. , Banerjee I. , Kapoor N. , Mitra P. , Mandal M. Cancer Letters - (Accepted/In-Press)
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)
Design of a High-Throughput Predrug Screening Technique from Detrimental Protein Interaction Networks and Experimental Validation on Glioblastoma INDIAN COUNCIL OF MEDICAL RESEARCH (ICMR)
Development of a CUDA C/C++ based Whole-cell Simulator Package National Supercomputing Mission (NSM)
Development of Genome Engineering Platform in Industrially Relevant Yeast, Lachancea Kluyveri for Improved Production of Fatty-acid Derived Biofuels and Chemicals Science and Engineering Research Board (SERB)
Deciphering the Role of HMGB1 in Modulating Therapy-resistance in Glioblastoma Via Metabolic Alteration Indian Council of Medical Research, Dept. of Health Research, Ministry of Health and Family Welfare
Designer Therapeutic Elucidation of Novel Small Molecular Inhibitor Targeting ETV6-NTRK3 Associated Gene Fusion in Glioblastoma Indian Council of Medical Research, Dept. of Health Research, Ministry of Health and Family Welfare
Angana Biswas
Area of Research: Cancer Biology
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
Sourav Garai
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
Ayan Ghosh
Area of Research: Big Data Analytics
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: Whole Cell Simulation