Research Area
Computational Biology, Bioinformatics
Research Interests
The deluge of high-throughput experimental data along with readily available genomic information and protein structures (experimental/modelled) enables large-scale integrative computational analyses to elucidate molecular details of protein functions and/or biological processes. Additionally, it could provide insights into functional landscape of protein or family of proteins.
The research vision of my group is to understand the role of protein structures in shaping the molecular evolution of protein function(s). In my group, we are engaged in addressing various biologically interesting questions such as to understand the mechanistic basis of enzyme promiscuity, relating spider silk sequences to their mechanical features, single residue mutational affect(s) on allosteric behaviour of proteins, proteome diversity due to alternative splicing, and how intra-domain motions modulate function of proteins.
2005 - 2009 : Postdoctoral Fellow, Georgia Institute of Technology, USA
2010 - 2012 : Postdoctoral Fellow, CEA, Genoscope, France
2001 - 2005 : Int. Ph.D., Indian Institute of Science, Bangalore
1998 - 2001 : Int. Ph.D, Indian Institute of Science, Bangalore
1995 - 1998 : B. Sc. (H) Microbiology, Delhi University
Deeksha Thakur and Shashi Bhushan Pandit. Unusual commonality in active site structural features of substrate promiscuous and specialist enzymes. Journal of Structural Biology 214(1):107835, 2022. Anish Kumar Mondal, Paras Verma, Nayanika Sengupta, Somnath Dutta, Shashi Bhushan Pandit and Kausik Chattopadhyay. Tyrosine in the hinge region of the pore-forming motif regulates oligomeric $\beta$-barrel pore formation by Vibrio cholerae cytolysin. Molecular Microbiology 115(4):508–525, 2021. Paras Verma, Biswajit Panda, Kamal P Singh and Shashi B Pandit. Optimal protein sequence design mitigates mechanical failure in silk $\beta$-sheet nanocrystals. ACS Biomaterials Science & Engineering 7(7):3156–3165, 2021. Rivi Verma and Shashi Bhushan Pandit. Unraveling the structural landscape of intra-chain domain interfaces: Implication in the evolution of domain-domain interactions. Plos one 14(8):e0220336, 2019. Preeti Choudhary, Shailesh Kumar, Anand Kumar Bachhawat and Shashi Bhushan Pandit. CSmetaPred: a consensus method for prediction of catalytic residues. BMC bioinformatics 18:1–13, 2017. Shashi Bhushan Pandit and Jeffrey Skolnick. Fr-TM-align: a new protein structural alignment method based on fragment alignments and the TM-score. BMC bioinformatics 9:1–11, 2008. Shashi Bhushan Pandit, Yang Zhang and Jeffrey Skolnick. TASSER-Lite: an automated tool for protein comparative modeling. Biophysical Journal 91(11):4180–4190, 2006. Shashi B Pandit, Rana Bhadra, Venkatraman S Gowri, S Balaji, B Anand and Narayanaswamy Srinivasan. SUPFAM: a database of sequence superfamilies of protein domains. BMC bioinformatics 5:1–5, 2004.