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Ishitta-Sarkar/README.md

Ishitta Sarkar

Bioinformatics | Computational Biology | Biomedical Artificial Intelligence

About

Biotechnology graduate pursuing research in Bioinformatics, Computational Biology, and Biomedical Artificial Intelligence. My work focuses on developing computational methods, biomedical knowledge graphs, machine learning workflows, and reproducible research software for disease biology, drug discovery, systems biology, and precision medicine.

Research Areas

  • Bioinformatics
  • Computational Biology
  • Biomedical Artificial Intelligence
  • Explainable AI
  • Computational Drug Discovery
  • Molecular Docking & Virtual Screening
  • Biomedical Knowledge Graphs
  • Biomedical Machine Learning
  • Systems Biology
  • Precision Medicine

Current Research

  • Explainable Biomedical Intelligence Platforms
  • Biomedical Knowledge Graphs
  • Biological Network Analysis
  • Computational Drug Discovery
  • Disease Biomarker Discovery
  • Research Software Engineering
  • Reproducible Computational Workflows

Flagship Research Software

SANJIVANI

Explainable Biomedical Intelligence Platform for evidence-aware knowledge graphs, biological pathway exploration, confidence scoring, and computational drug-repurposing research.

Live Application

https://sanjivani-evidence-graph.streamlit.app/

Selected Projects

  • SANJIVANI
  • COVID-19 Mpro Phytochemical Docking
  • Parkinson's Voice Biomarker ML
  • Bioinformatics Core Toolkit
  • Bioprocess Yield Optimization ML
  • AI Biomarker Discovery

Technical Skills

Programming

  • Python

Bioinformatics

  • Molecular Docking
  • Knowledge Graphs
  • Sequence Analysis
  • Network Analysis

Data Science

  • Pandas
  • NetworkX
  • Machine Learning
  • Data Visualization

Research Tools

  • Git
  • GitHub
  • Streamlit
  • AutoDock Vina
  • PyMOL

Academic Background

B.Tech Biotechnology(Honours)

Final Year Research Project

In Silico Molecular Docking and Virtual Screening for Identification of Potential Drug Candidates

Research Profiles

ORCID

https://orcid.org/0009-0008-1028-6010

Pinned Loading

  1. bioinformatics-core-toolkit bioinformatics-core-toolkit Public

    Bioinformatics toolkit for DNA analysis, mutation detection, FASTA parsing, and protein translation using Python.

    Python

  2. ai-biomarker-discovery ai-biomarker-discovery Public

    A Python-based project for identifying potential disease biomarkers using gene expression data and analytical workflows.

    Python

  3. computational-drug-discovery-platform computational-drug-discovery-platform Public

    A Python-based framework for exploring computational drug discovery workflows including target analysis, ligand screening, molecular docking, and candidate ranking.

    Python

  4. covid-mpro-phytochemical-docking covid-mpro-phytochemical-docking Public

    Computational molecular docking workflow for virtual screening of plant-derived compounds against the SARS-CoV-2 main protease using AutoDock Vina and publicly available structural biology resources.

    Python

  5. parkinsons-voice-biomarker-ml parkinsons-voice-biomarker-ml Public

    Biomedical machine learning workflow for Parkinson's disease classification using voice-based biomarkers and real UCI dataset analysis.

    Jupyter Notebook

  6. sanjivani-evidence-graph sanjivani-evidence-graph Public

    Explainable biomedical intelligence platform for evidence-aware knowledge graphs, biological path exploration, and drug-repurposing research.

    Python