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Saikat Dhibar

Showing results (1-10 of 7) with videos related to

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Journal of Chemical Theory and Computation|September 10, 2024
Optimized Collective Variable for Collapse Transition in Linear Hydrophobic Polymers: Importance of Hydration Water and End-to-End DistanceSaikat Dhibar, Biman Jana
The Journal of Physical Chemistry Letters|November 27, 2023
Accurate Prediction of Antifreeze Protein from Sequences through Natural Language Text Processing and Interpretable Machine Learning ApproachesSaikat Dhibar, Biman Jana
Physical Chemistry Chemical Physics : PCCP|May 1, 2026
Designing transferable transition state guided collective variables <i>via</i> interpretable machine learning models for enhanced sampling: a case study on polymer collapse transitionSaikat Dhibar, Biman Jana
Chemical Science|September 15, 2025
Prediction of enzyme function using an interpretable optimized ensemble learning frameworkSaikat Dhibar, Sumon Basak, Biman Jana
The Journal of Physical Chemistry Letters|June 4, 2026
SCOP-KHNET: An Interpretable Hybrid Network for Protein Structural Class PredictionSaikat Dhibar, Rima Karmakar, Biman Jana
The Journal of Physical Chemistry. B|July 17, 2025
Correlations among Hydrogen Bond Fluctuations in the Apo State Are Enough to Reveal Allosteric Networks in ProteinsSubhajit Sarkar, Saikat Dhibar, Biman Jana
Physical Chemistry Chemical Physics : PCCP|July 30, 2024
Modulation of the conformational landscape of the PDZ3 domain by perturbation on a distal non-canonical α3 helix: decoding the microscopic mechanism of allostery in the PDZ3 domainSubhajit Sarkar, Saikat Dhibar, Biman Jana
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|September 10, 2024
Optimized Collective Variable for Collapse Transition in Linear Hydrophobic Polymers: Importance of Hydration Water and End-to-End DistanceSaikat Dhibar, Biman Jana
The Journal of Physical Chemistry Letters|November 27, 2023
Accurate Prediction of Antifreeze Protein from Sequences through Natural Language Text Processing and Interpretable Machine Learning ApproachesSaikat Dhibar, Biman Jana
Physical Chemistry Chemical Physics : PCCP|May 1, 2026
Designing transferable transition state guided collective variables <i>via</i> interpretable machine learning models for enhanced sampling: a case study on polymer collapse transitionSaikat Dhibar, Biman Jana
Chemical Science|September 15, 2025
Prediction of enzyme function using an interpretable optimized ensemble learning frameworkSaikat Dhibar, Sumon Basak, Biman Jana
The Journal of Physical Chemistry Letters|June 4, 2026
SCOP-KHNET: An Interpretable Hybrid Network for Protein Structural Class PredictionSaikat Dhibar, Rima Karmakar, Biman Jana
The Journal of Physical Chemistry. B|July 17, 2025
Correlations among Hydrogen Bond Fluctuations in the Apo State Are Enough to Reveal Allosteric Networks in ProteinsSubhajit Sarkar, Saikat Dhibar, Biman Jana
Physical Chemistry Chemical Physics : PCCP|July 30, 2024
Modulation of the conformational landscape of the PDZ3 domain by perturbation on a distal non-canonical α3 helix: decoding the microscopic mechanism of allostery in the PDZ3 domainSubhajit Sarkar, Saikat Dhibar, Biman Jana
Pageof 1