đź“Ť Cambridge, MA, US
đź“Ť Cambridge, UK

Hello, I'm Srijit Seal

I am a researcher in chemoinformatics, centered on using machine learning techniques, particularly modeling, and interpretation of the Cell Painting assay, to predict drug bioactivity, safety, and toxicity.
I am currently based at Broad Institute of MIT and Harvard where I am advised by Anne Carpenter and Shantanu Singh.
I am also a final year Ph.D. student at the University of Cambridge where I am advised by Andreas Bender

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University of Cambridge Homepage Broad Institute Homepage Blog : understanding.bio

Upcoming and Past Talks

Publications

Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank

Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank

Srijit Seal, Ola Spjuth, Layla Hosseini Gerami, Miguel GarcĂ­a-OrtegĂłn, Shantanu Singh, Andreas Bender, Anne E. Carpenter
Journal of Chemical Information and Modeling, 2024

Project Page Open Access Publication Code
Integrating Cell Morphology with Gene Expression and Chemical Structure to aid Mitochondrial Toxicity detection

Integrating Cell Morphology with Gene Expression and Chemical Structure to aid Mitochondrial Toxicity detection

Srijit Seal, Jordi Carreras Puigvert, Marianna Trapotsi, Yang Hongbin, Ola Spjuth, Andreas Bender
Communications Biology, 2022

Open Access Publication
Comparison of Cellular Morphological descriptors and Molecular Fingerprints for the prediction of Cytotoxicity- and Proliferation-related assays

Comparison of Cellular Morphological descriptors and Molecular Fingerprints for the prediction of Cytotoxicity- and Proliferation-related assays

Srijit Seal, Yang Hongbin, Luis Vollmers, Andreas Bender
Chemical Research in Toxicology, 2021

Project Page Paper (Repository Access) Journal (Institutional Access)
Understanding Biology in the Age of Artificial Intelligence

Understanding Biology in the Age of Artificial Intelligence

Elsa Lawrence, Adham El-Shazly, Srijit Seal, Chaitanya Joshi, Pietro Lio, Shantanu Singh, Andreas Bender, Pietro Sormanni, Matthew Greenig
arXiv, 2024

Project Page PDF arXiv
Using Chemical and Biological data to Predict Drug Toxicity

Using Chemical and Biological data to Predict Drug Toxicity

Anika Liu, Srijit Seal, Yang Hongbin, Andreas Bender
SLAS Discovery, 2023

Open Access Publication
Merging Bioactivity Predictions from Cell Morphology and Chemical Fingerprint models using Similarity to Training data

Merging Bioactivity Predictions from Cell Morphology and Chemical Fingerprint models using Similarity to Training data

Srijit Seal, Yang Hongbin, Marianna Trapotsi, Shantanu Singh, Jordi Carreras Puigvert, Ola Spjuth, Andreas Bender
Journal of Cheminformatics, 2023

Open Access Publication Code
From pixels to phenotypes: Integrating image-based profiling with cell health data as BioMorph features improves interpretability

From pixels to phenotypes: Integrating image-based profiling with cell health data as BioMorph features improves interpretability

Srijit Seal, Jordi Carreras Puigvert, Shantanu Singh, Anne E. Carpenter, Ola Spjuth, Andreas Bender
Molecular Biology of the Cell, 2024

Project Page Open Access Publication Code
Using Generative Modeling to Endow with Potency Initially Inert Compounds with Good Bioavailability and Low Toxicity

Using Generative Modeling to Endow with Potency Initially Inert Compounds with Good Bioavailability and Low Toxicity

Robert Horne, Jared Wilson-Godber, Alicia Gonzalez Diaz, Z. Faidon Brotzakis, Srijit Seal, Rebecca C. Gregory, Andrea Possenti, Sean Chia, Michele Vendruscolo
Journal of Chemical Information and Modeling, 2024

Open Access Publication Code
Improved Early Detection of Drug-Induced Liver Injury by Integrating Predicted in Vivo and in Vitro Data

Improved Early Detection of Drug-Induced Liver Injury by Integrating Predicted in Vivo and in Vitro Data

Srijit Seal, Dominic Williams, Layla Hosseini Gerami, Ola Spjuth, Andreas Bender
bioRxiv, 2024

Project Page Code PDF bioRxiv
PKSmart: An Open-Source Computational Model to Predict in vivo Pharmacokinetics of Small Molecules

PKSmart: An Open-Source Computational Model to Predict in vivo Pharmacokinetics of Small Molecules

Srijit Seal, Marianna Trapotsi, Vigneshwari Subramanian, Ola Spjuth, Nigel Greene, Andreas Bender
bioRxiv, 2024

Project Page Code PDF bioRxiv
Calibrated prediction of scarce adverse drug reaction labels with conditional neural processes

Calibrated prediction of scarce adverse drug reaction labels with conditional neural processes

Miguel GarcĂ­a-OrtegĂłn, Srijit Seal, Shantanu Singh, Andreas Bender, Sergio Bacallado
ICLR 2024 DMLR Workshop

Open Access Publication

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