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Satyam SangeetSatyam Sangeet
Satyam Sangeet

A passionate researcher in the fields of computational biology and machine learning, dedicated to understanding complex biological systems through innovative computational approaches.

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Research Focus

My research integrates computational biology with machine learning to understand complex biological systems. I specialize in developing novel algorithms for analyzing biological data and creating predictive models for various biological phenomena.

With a strong foundation in both computational methods and biological sciences, I strive to bridge the gap between these disciplines to advance our understanding of complex biological systems and contribute to breakthrough discoveries in the field.

Computational Biology

Developing advanced algorithms for protein structure prediction and molecular dynamics simulations.

Chronophysics & Chronobiology

Studying biological rhythms and temporal dynamics in living systems.

Machine Learning

Applying deep learning for biological data analysis and predictive modeling.

Bioinformatics

Analyzing genomic data and developing computational tools for biological research.

Education

Research Experience

Recent Publications

EVOLVE: A Web Platform for AI-based Protein Mutation Prediction and Evolutionary Phase Exploration

Sangeet S, Sinha A, Nair MB, Mahata A, Sarkar R, Roy S

Journal of Chemical Information and Modelling

DOI: 10.1101/2024.12.26.630381

Bacopa monnieri phytochemicals as promising BACE1 inhibitors for Alzheimers Disease Therapy

Sangeet S, Khan A

Scientific Reports

DOI: 10.1038/s41598-025-92644-y

Machine Learning-Enhanced Drug Discovery for BACE1: A Novel Approach to Alzheimer's Therapeutics

Sangeet S

PLoS One (under review)

DOI: 10.1101/2024.09.24.614844

My Projects

EVOLVE Platform

ReactCSSJavascriptPythonTypescript2025

A comprehensive web platform for AI-based protein mutation prediction and evolutionary phase exploration. Features include interactive visualizations, real-time predictions, and detailed analysis tools.

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SIMANA (SIMulation ANAlysis)

SIMANA is a platform that provides comprehensive analysis tools for molecular dynamics simulations including RMSD tracking, RMSF analysis, radius of gyration calculations, SASA measurements, hydrogen bond analysis, DCCM plotting, PCA analysis, Ramachandran plots, contact mapping, and B-factor analysis.

ReactPythonTailwind CSSFramer Motion2025

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Article Research Intelligence And Summarization (ARIAS)

ARIAS is a cutting-edge model that revolutionizes how we interact with research. It empowers users to effortlessly navigate through complex articles by providing comprehensive summaries and engaging in interactive conversations

Deep LearningLangChainStreamlitOpenAI2022

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Bioinformatics Pipeline

Automated pipeline for genomic data analysis and visualization with machine learning integration.

BioinformaticsPython

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Research Mentors

Dr. Svetlana Postnova

Associate Professor

University of Sydney

Computational Neuroscience, Chronophysics, Chronobiology

Dr. Susmita Roy

Associate Professor

IISER Kolkata

Computational Biology, Machine Learning, Protein Evolution

Dr. Jeet Kalia

Professor

IISER Bhopal

Chemical Biology, Ion Channels, Protein Engineering