Project 1: Sequence patterns and HMM profiles to predict proteome wide zinc finger motifs (ZnFs)
- Developed and co-created ZnF-Prot (https://project.iith.ac.in/znprot/), a cutting-edge web server for accurately predicting ZnF domains in protein/proteome sequences across diverse organisms.
- Designed and implemented an innovative workflow, combining Pfam HMM profile search and ZnF motif pattern search using Python scripts, resulting in highly precise predictions.
- Contributed to the development of the web server using PHP, HTML, and CSS, and ensured the quality of the research by meticulously editing and proofreading the manuscript published in "Pattern Recognition" journal.
Project 2: Structural diversity among Acinetobacter baumannii K-antigens and its implication in the in silico serotyping
- Enhanced the functionality of ABSD (https://project.iith.ac.in/ABSD/), a web server housing a comprehensive repository of 3D-structural models for all 64 K-antigens of A. baumannii, enabling accurate serotype prediction.
- Designed a robust workflow incorporating BLAST package and BASH scripts to facilitate efficient serotype predictions by comparing query sequences with a reference dataset.
- Maintained the web server's functionality using PHP, HTML, and CSS, and actively contributed to the writing and editing process of the manuscript accepted for publication in "Frontiers in Microbiology".
Project 3: CoVe-tracker: An interactive database that provides the evolution of SARS-CoV-2 (PANGO) lineages (lineage) and the concomitant variants and mutations
- Co-developed CoVe-tracker (https://project.iith.ac.in/cove-tracker/), an interactive web-GUI platform that provides real-time updates on SARS-CoV-2 proteome variants, their distribution, and evolutionary patterns.
- Designed and implemented a comprehensive workflow involving translation and analysis of over 5.7 million SARS-CoV-2 genome sequences from the GISAID web server, enabling accurate variant and lineage classifications.
- Built the protein-wise mutation distribution module of the server and utilized JSMOL scripts to visually represent recurring mutations on viral protein structures.
- Published the research findings in the esteemed "Journal of Proteome Research".