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Atharva Kelkar

Showing results (1-10 of 4) with videos related to

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Nature Communications|May 28, 2024
Structure prediction of protein-ligand complexes from sequence information with UmolPatrick Bryant, Atharva Kelkar, Andrea Guljas, et al.
The Journal of Chemical Physics|September 9, 2025
Operator forces for coarse-grained molecular dynamicsLeon Klein, Atharva Kelkar, Aleksander Durumeric, et al.
Current Opinion in Structural Biology|February 2, 2023
Machine learned coarse-grained protein force-fields: Are we there yet?Aleksander E P Durumeric, Nicholas E Charron, Clark Templeton, et al.
Nature Chemistry|July 18, 2025
Navigating protein landscapes with a machine-learned transferable coarse-grained modelNicholas E Charron, Klara Bonneau, Aldo S Pasos-Trejo, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Nature Communications|May 28, 2024
Structure prediction of protein-ligand complexes from sequence information with UmolPatrick Bryant, Atharva Kelkar, Andrea Guljas, et al.
The Journal of Chemical Physics|September 9, 2025
Operator forces for coarse-grained molecular dynamicsLeon Klein, Atharva Kelkar, Aleksander Durumeric, et al.
Current Opinion in Structural Biology|February 2, 2023
Machine learned coarse-grained protein force-fields: Are we there yet?Aleksander E P Durumeric, Nicholas E Charron, Clark Templeton, et al.
Nature Chemistry|July 18, 2025
Navigating protein landscapes with a machine-learned transferable coarse-grained modelNicholas E Charron, Klara Bonneau, Aldo S Pasos-Trejo, et al.
Pageof 1