Parth Bibekar

I am a

About Me

Hi, I'm Parth. I am a PhD candidate at the Laboratory for Biomolecular Modeling at EPFL. My research interests include applications of machine learning in structural bioinformatics, computational biophysics and integrative modeling. I enjoy playing chess, traveling, reading, and building things.

Education

PhD in Computational and Quantitative Biology

September 2024 - Present

Institute of Bioengineering, SV, EPFL, Switzerland

Advisor: Prof. Matteo Dal Peraro

BS-MS (Bachelor's and Master's dual degree) in Biology with a minor in Computational and Data Sciences

2019 - 2024

IISER Kolkata, India

MS Thesis: Applications of Geometric Deep Learning for Biomolecular Structure Modeling

Advisor: Prof. Matteo Dal Peraro

Projects

RISoTTo Project Image

RISoTTo

RIbonucleic acid Sequence design from TerTiary structure, a newly trained model capable of predicting RNA sequences from their backbone scaffolds. RISoTTo was the primary focus of my MS thesis. Unlike traditional methods, RISoTTo can design RNA sequences while considering the surrounding context of proteins, ligands, or ions around the nucleotides. This empowers RISoTTo as a potent tool for context-aware RNA sequence design. The paper and accompanying code for RISoTTo will be published soon.

PeSTo-Carbs

PeSTo-Carbs

PeSTo-Carbs is my most recent paper published in the Journal of Chemical Theory and Computation. It is a geometric transformer and an extension of PeSTo, specifically engineered to predict protein–carbohydrate and protein-cyclodextrin binding interfaces.

Welearn-bot

Welearn-bot

Welearn-bot is a CLI application to interact with welearn in the IISER Kolkata domain. The bot was created and is actively maintained by Satvik, Abhay, Amarjeet and I. It can be used to download all the necessary files from welearn, list your assignments, etc. It has Google Calendar integrated to directly add due assignments to your calendar.

K Gerasimov vs Vasily Smyslov

Moscow Pioneer Home Championship (1935), Moscow URS

Rubinstein Opening (D05) · 0-1

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