Debsindhu Bhowmik

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Venues

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Debsindhu Bhowmik, Pei Zhang, Zachary R. Fox, Stephan Irle, John Gounley
Enhancing molecular design efficiency: Uniting language models and generative networks with genetic algorithms. Patterns 5 (4) (2024)
Pei Zhang, Logan T. Kearney, Debsindhu Bhowmik, Zachary R. Fox, Amit K. Naskar, John Gounley
Transferring a molecular foundation model for polymer property predictions. CoRR (2023)
Andrew E. Blanchard, Debsindhu Bhowmik, Zachary Fox, John Gounley, Jens Glaser, Belinda S. Akpa, Stephan Irle
Adaptive language model training for molecular design. J. Cheminformatics 15 (1) (2023)
Pei Zhang, Logan T. Kearney, Debsindhu Bhowmik, Zachary R. Fox, Amit K. Naskar, John Gounley
Transferring a Molecular Foundation Model for Polymer Property Predictions. J. Chem. Inf. Model. 63 (24) (2023)
Andrew E. Blanchard, Mayanka Chandra Shekar, Shang Gao, John Gounley, Isaac Lyngaas, Jens Glaser, Debsindhu Bhowmik
Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model. IEEE Trans. Evol. Comput. 26 (4) (2022)
Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rehawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Andrew E. Blanchard, John Gounley, Debsindhu Bhowmik, Mayanka Chandra Shekar, Isaac Lyngaas, Shang Gao, Junqi Yin, Aristeidis Tsaris, Feiyi Wang, Jens Glaser
Language models for the prediction of SARS-CoV-2 inhibitors. Int. J. High Perform. Comput. Appl. 36 (5-6) (2022)
Andrew E. Blanchard, Pei Zhang, Debsindhu Bhowmik, Kshitij Mehta, John Gounley, Samuel Temple Reeve, Stephan Irle, Massimiliano Lupo Pasini
Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models. SMC (2022)
Andrew E. Blanchard, Christopher Stanley, Debsindhu Bhowmik
Using GANs with adaptive training data to search for new molecules. J. Cheminformatics 13 (1) (2021)
Serena H. Chen, M. Todd Young, John Gounley, Christopher Stanley, Debsindhu Bhowmik
How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets. IEEE BigData (2021)
Eunice Cho, Margarida Rosa, Ruhi Anjum, Saman Mehmood, Mariya Soban, Moniza Mujtaba, Khair Bux, Syed T. Moin, Mohammad Tanweer, Sarath Dantu, Alessandro Pandini, Junqi Yin, Heng Ma, Arvind Ramanathan, Barira Islam, Antonia S. J. S. Mey, Debsindhu Bhowmik, Shozeb M. Haider
Dynamic Profiling of β-Coronavirus 3CL Mpro Protease Ligand-Binding Sites. J. Chem. Inf. Model. 61 (6) (2021)
Srikanth B. Yoginath, Mathieu Doucet, Debsindhu Bhowmik, David Heise, Folami Alamudun, Hong-Jun Yoon, Christopher Stanley
Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge. SMC (2021)
Atanu Acharya, Rupesh Agarwal, Matthew B. Baker, Jérôme Baudry, Debsindhu Bhowmik, Swen Böhm, Kendall G. Byler, Sam Yen-Chi Chen, Leighton Coates, Connor J. Cooper, Omar Demerdash, Isabella Daidone, John D. Eblen, Sally R. Ellingson, Stefano Forli, Jens Glaser, James C. Gumbart, John Gunnels, Oscar R. Hernandez, Stephan Irle, D. W. Kneller, A. Kovalevsky, Jeffrey M. Larkin, Travis J. Lawrence, Scott LeGrand, Shih-Hsien Liu, Julie C. Mitchell, Gilchan Park, Jerry M. Parks, Anna Pavlova, Loukas Petridis, Duncan Poole, Line Pouchard, Arvind Ramanathan, David M. Rogers, Diogo Santos-Martins, Aaron Scheinberg, Ada Sedova, Y. Shen, Jeremy C. Smith, Micholas Dean Smith, Carlos Soto, Aristides Tsaris, Mathialakan Thavappiragasam, Andreas F. Tillack, Josh Vincent Vermaas, Van Quan Vuong, Junqi Yin, Shinjae Yoo, Mai Zahran, Laura Zanetti Polzi
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. J. Chem. Inf. Model. 60 (12) (2020)
Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rihawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing. CoRR (2020)
Hyungro Lee, Heng Ma, Matteo Turilli, Debsindhu Bhowmik, Shantenu Jha, Arvind Ramanathan
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding. CoRR (2019)
Hyungro Lee, Matteo Turilli, Shantenu Jha, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding. DLS@SC (2019)
Srikanth B. Yoginath, Md. Maksudul Alam, Arvind Ramanathan, Debsindhu Bhowmik, Nouamane Laanait, Kalyan S. Perumalla
Towards Native Execution of Deep Learning on a Leadership-Class HPC System. IPDPS Workshops (2019)
Junghoon Chae, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan, Chad A. Steed
Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations. IEEE BigData (2019)
Heng Ma, Debsindhu Bhowmik, Hyungro Lee, Matteo Turilli, Michael T. Young, Shantenu Jha, Arvind Ramanathan
Deep Generative Model Driven Protein Folding Simulations. PARCO (2019)
Debsindhu Bhowmik, Shang Gao, Michael T. Young, Arvind Ramanathan
Deep clustering of protein folding simulations. BMC Bioinform. (18) (2018)
Vickie E. Lynch, Jose M. Borreguero, Debsindhu Bhowmik, Panchapakesan Ganesh, Bobby G. Sumpter, Thomas Proffen, Monojoy Goswami
An automated analysis workflow for optimization of force-field parameters using neutron scattering data. J. Comput. Phys. 340 (2017)

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Publication Activity (10 Years)

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Debsindhu Bhowmik