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Anchita Das Sharma

Anchita Das Sharma

MTech Genetic Engineering student and bioinformatics researcher

anchita-das
Chengalpattu, Tamil Nadu, India
Joined April 2026
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Summary

Active in bioinformatics and peptide research — authorship and co-authorship on multiple computational biology and antimicrobial/antifungal peptide studies indicate hands-on experience with in-silico methods for peptide discovery and characterization. researchgate+3
Undergraduate-to-postgraduate trajectory in biotechnology/genetic engineering — completed a B.Tech in Biotechnology and pursued an M.Tech in Genetic Engineering at SRM IST, reflecting formal academic training in molecular biology and related fields. deepenrich
Industry-facing laboratory experience — held R&D scientist role and industrial trainee positions providing practical wet-lab and quality-control exposure in pharmaceutical and life-science settings. deepenrich
Engaged online academic profile and credentials — maintains scholarly profiles (Google Scholar, ResearchGate), a LinkedIn presence for professional roles, and Coursera certifications demonstrating continuing online learning. google+2

Work

Education

Projects

Writing

High Throughput Meta-analysis of Antimicrobial Peptides for Characterizing Class Specific Therapeutic Candidates: An in-silico Approach

January 1, 2024

A high-throughput meta-analysis applying in-silico methods to characterize antimicrobial peptide classes and identify therapeutic candidates.

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Bioinformatics Approaches Applied to the Discovery of Antifungal Peptides

March 1, 2023

Survey/analysis of computational bioinformatics methods used to discover antifungal peptides.

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Two optimized antimicrobial peptides with therapeutic potential for clinical antibiotic-resistant Staphylococcus aureus

Research on design/optimization of antimicrobial peptides with potential therapeutic effect against antibiotic-resistant Staphylococcus aureus.

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ClassAMP: A Prediction Tool for Classification of Antimicrobial Peptides

Work related to ClassAMP, a computational prediction tool for classification of antimicrobial peptides.

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Hobbies

Photography, videography, music, stage play and travel. instagram