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 Pal B., Mitra P. By Journal of Molecular Biology 433 167149- (2021)
-
New measures for estimating surface complementarity and packing at protein-protein interfaces Mitra P., Pal D. By FEBS Letters 584 1163-1168 (2010)
-
An evolution-based approach to de novo protein design and case study on Mycobacterium Tuberculosis Mitra P., Shultis D. , Brender J. R., Czajka J. , Marsh D. , Gray F. , Cierpicki T. , Zhang Y. By PLoS Computational Biology 9 e1003298- (2013)
-
A Network-based Zoning for Parallel Whole-Cell Simulation Das B., Patil A. R., Mitra P. By 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 Banerjee A., Mitra P. By Journal of Chemical Information and Modeling 60 3315-3323 (2020)
-
High-performance Whole-cell Simulation Exploiting Modular Cell Biology Principles Das B., Mitra P. By 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 Mitra P., Pal D. By Structure 19 304-312 (2011)
-
Changing the Apoptosis Pathway through Evolutionary Protein Design 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. By Journal of Molecular Biology 431 825-841 (2019)
-
Using correlated parameters for improved ranking of protein-protein docking decoys Mitra P., Pal D. By Journal of Computational Chemistry 32 787-796 (2011)
Principal Investigator
- Design of a High-Throughput Predrug Screening Technique from Detrimental Protein Interaction Networks and Experimental Validation on Glioblastoma
Co-Principal Investigator
- 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
- 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)
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
Saranagata Kundu
Area of Research: Computational Biology and Bioinformatics
Saumya Jaiswal
Area of Research: Computational Biology and Bioinformatics
Shruti Agrawal
Area of Research: Machine learning in Bioinformatics
Shubhrangshu Ghosh
Area of Research: Bioinformatics
Somarpita Dutta
Area of Research: Application of Machine Learning in Bioinformatics
Soumyadeep Bhaduri
Area of Research: Computational Vaccinology
Sourav Garai
Area of Research: Application of Machine Learning in Bioinformatics
Suman Kumar Bera
Area of Research: Machine learning in Bioinformatics
Suvendu Nandi
Area of Research: Cancer Drug Discovery