The Molecular Sciences Software Institute

The Molecular Sciences Software Institute company information, Employees & Contact Information

The Molecular Sciences Software Institute serves as a nexus for science, education, and cooperation serving the worldwide community of computational molecular scientists – a broad field including of biomolecular simulation, quantum chemistry, and materials science. The Institute is designed to spur significant advances in software infrastructure, education, standards, and best-practices that are needed to enable the molecular science community to open new windows on the next generation of scientific Grand Challenges, ranging from the simulation of intrinsically disordered proteins associated with a range of diseases to the design of new catalysts vital to the global chemical industry and climate change.

Company Details

Employees
15
Founded
-
Address
1880 Pratt Drive,
Phone
(540) 231-7760
Email
in****@****ssi.org
Industry
Software Development
NAICS
Software Publishers
Website
molssi.org
HQ
Blacksburg, Virginia
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The Molecular Sciences Software Institute Questions

News

Cookiecutter for Computational Molecular Sciences: A Best Practices Ready Python Project Generator - ACS Publications

Cookiecutter for Computational Molecular Sciences: A Best Practices Ready Python Project Generator ACS Publications

Molecular Sciences Software Institute receives $15 million grant from National Science Foundation - Virginia Tech News

Molecular Sciences Software Institute receives $15 million grant from National Science Foundation Virginia Tech News

A glycan gate controls opening of the SARS-CoV-2 spike protein - Nature

A glycan gate controls opening of the SARS-CoV-2 spike protein Nature

(PDF) Data‐Driven Materials Science: Status, Challenges, and Perspectives - researchgate.net

(PDF) Data‐Driven Materials Science: Status, Challenges, and Perspectives researchgate.net

SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome - Nature

SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome Nature

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