Search Results for author: Christopher R. Iacovella

Found 2 papers, 2 papers with code

Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyond

5 code implementations13 Jul 2023 Kenichiro Takaba, Iván Pulido, Pavan Kumar Behara, Chapin E. Cavender, Anika J. Friedman, Michael M. Henry, Hugo MacDermott Opeskin, Christopher R. Iacovella, Arnav M. Nagle, Alexander Matthew Payne, Michael R. Shirts, David L. Mobley, John D. Chodera, Yuanqing Wang

The development of reliable and extensible molecular mechanics (MM) force fields -- fast, empirical models characterizing the potential energy surface of molecular systems -- is indispensable for biomolecular simulation and computer-aided drug design.

Drug Discovery

Formalizing Atom-typing and the Dissemination of Force Fields with Foyer

4 code implementations7 Dec 2018 Christoph Klein, Andrew Z. Summers, Matthew W. Thompson, Justin Gilmer, Clare McCabe, Peter T. Cummings, Janos Sallai, Christopher R. Iacovella

A key component to enhancing reproducibility in the molecular simulation community is reducing ambiguity in the parameterization of molecular models.

Computational Physics Soft Condensed Matter

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