Research

Research Interests :

  • Bioinformatics

  • Computational Biology

  • Bacterial Chemotaxis

  • Molecular Dynamic Simulations

Useful Softwares in Computational Biology:

Publications:

Journal:

  1. Shyantani Maiti, Atif Hassan, Pralay Mitra (2020). Boosting phosphorylation site prediction with sequence feature-based Machine learning. PROTEINS: Structure, Function, and Bioinformatics 88(2):284-291 [PubMed] IF:3.756

  2. Shyantani Maiti, Pralay Mitra (2018). Bacterial flagellar switching: a molecular mechanism directed by the logic of an electric motor. Journal of Molecular Modeling 24:280 [PubMed] IF:1.871

  3. Shyantani Maiti, Sanjay Ram, Somnath Pal(2015). Extension of Ugi's Scheme for Model-Driven Classification of Chemical Reactions. International Journal of Chemoinformatics and Chemical Engineering.4(1):26-51[link]

Conference:

  1. Shyantani Maiti, Pralay Mitra (2018). Protein Design Assisted Residue Conservation and Functional Stability Analysis for Bacterial Chemotaxis. In Proc. of 2018 International Conference on Bioinformatics and Systems Biology (BSB-2018), pp. 32-35, Allahabad, India, Oct 26-28, 2018. [IEEE Xplore]

  2. Shyantani Maiti, Pralay Mitra (2018). Computational method to recognize mutation leading to alterations in protein stability and function. In Proc. of IEEE International Conference on Innovative Technologies in Engineering 2018 (ICITE OU), Hyderabad, India, Apr 11-13, 2018. Awarded as Best Paper in Computer Science and Engineering

Awards:

Best Paper Award in Computer Science and Engineering in IEEE International Conference on Innovative Technologies in Engineering 2018 (ICITE OU), Hyderabad, India, Apr 11-13, 2018.

Shyantani Maiti, Pralay Mitra (2018). Computational method to recognize mutation leading to alterations in protein stability and function. In Proc. of IEEE International Conference on Innovative Technologies in Engineering 2018 (ICITE OU), Hyderabad, India, Apr 11-13, 2018.

Poster Presentations:

Poster presentation on “Computational exploration of critical residues aiding in phosphate sink mechanism related to bacterial chemotaxis” in 1st IBSE International Symposium, IIT Madras, Jan 22-24, 2018.

Software:

PPSBOOST

Protein phosphorylation is one of the essential post-translation modifications playing a vital role in the regulation of many fundamental cellular processes. We propose a LightGBM-based computational approach that uses evolutionary, geometric, sequence environment, and amino acid-specific features to decipher phosphate binding sites from a protein sequence.

PROTEINS: Structure, Function, and Bioinformatics 88(2):284-291 [PubMed]