IITKGP

Pralay Mitra

Ph.D., Indian Institute of Science, Bangalore

Associate Professor

Computer Science and Engineering

+91-3222-282344

pralay@cse.iitkgp.ac.in

We are hiring Junior Research Fellow to work on AI-based Personalized Drug Repurposing using Single-Cell Multi-Omics Data. Application Deadline: April 10, 2024. |
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.
  • Delineation of crosstalk between HSP27 and MMP-2/MMP-9: A synergistic therapeutic avenue for glioblastoma management by Rajesh Y., Banerjee A. , Pal I. , Biswas A. , Das S. , Dey K. K., Kapoor N. , Ghosh A. K., Mitra P. , Mandal M. Biochimica et Biophysica Acta - General Subjects 1863 1196-1209 (2019)
  • 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 544 215811-215825 (2022)
  • 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)
  • 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)
  • 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)
  • MaTPIP: a deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction by Ghosh S., Mitra P. Computer Methods and Programs in Biomedicine 244 107955- (2024)
  • Analyzing change in protein stability associated with Single Point Deletions in a newly defined protein structure database by Banerjee A., Levy Y. , Mitra P. Journal of Proteome Research 18 1402-1410 (2019)
  • A novel computational predictive biological approach distinguishes Integrin 1 as a salient biomarker for breast cancer chemoresistance by Das S., Kundu M., Hassan A., Parekh A., Jena B.C., Mundre S., Banerjee I., Yetirajam R., Das C.K., Pradhan A.K., Das S.K., Emdad L., Mitra P., Fisher P.B., Mandal M. Biochimica et Biophysica Acta - Molecular Basis of Disease 1869 - (2023)
  • A Network-based Zoning for Parallel Whole-Cell Simulation by Das B., Patil A. R., Mitra P. Bioinformatics 35 88-94 (2019)
  • 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)

Principal Investigator

  • AI-based Personalized Drug Repurposing using Single-Cell Multi-Omics Data IIT KHARAGPUR AI4ICPS I HUB FOUNDATION
  • 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

Co-Principal Investigator

  • 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, Ministry of Education

Ph. D. Students

Animesh

Area of Research: Graph Machine Learning

Debraj Das

Area of Research: Computational Biology and Bioinformatics

Dibya Kanti Haldar

Area of Research: Application of Machine Learning in Bioinformatics

Nandita Sharma

Area of Research: Machine learning in Bioinformatics

Purnima Gautam

Area of Research: Bioinformatics

Ritik Kumar

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

Shoumik Dutta

Area of Research: Computational Biology and Bioinformatics

Shruti Agrawal

Area of Research: Machine learning in Bioinformatics

Shubhrangshu Ghosh

Area of Research: Bioinformatics

Sk Salim Ali

Area of Research: Computational Biology and Bioinformatics

Somarpita Dutta

Area of Research: Application of Machine Learning in Bioinformatics

Soumyadeep Bhaduri

Area of Research: Computational Vaccinology

Suvendu Nandi

Area of Research: Cancer Drug Discovery