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Title: ATOM - Accelerating therapeutics through opportunities in medicine

Abstract

Create a new paradigm of drug discovery that would reduce the time from an identified drug target to clinical candidate from the current ~6 years to just 12 months. ATOM will develop, test, and validate a multidisciplinary approach to drug discovery in which modern science, technology and engineering, supercomputing, simulations, data science, and artificial intelligence are highly integrated into a single drug-discovery platform that can ultimately be shared with the drug development community at-large.

Authors:
 [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1409746
Report Number(s):
LA-UR-17-30493
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; Biological Science

Citation Formats

Mcmahon, Benjamin Hamilton, and Dotson, Paul Jeffrey. ATOM - Accelerating therapeutics through opportunities in medicine. United States: N. p., 2017. Web. doi:10.2172/1409746.
Mcmahon, Benjamin Hamilton, & Dotson, Paul Jeffrey. ATOM - Accelerating therapeutics through opportunities in medicine. United States. doi:10.2172/1409746.
Mcmahon, Benjamin Hamilton, and Dotson, Paul Jeffrey. Thu . "ATOM - Accelerating therapeutics through opportunities in medicine". United States. doi:10.2172/1409746. https://www.osti.gov/servlets/purl/1409746.
@article{osti_1409746,
title = {ATOM - Accelerating therapeutics through opportunities in medicine},
author = {Mcmahon, Benjamin Hamilton and Dotson, Paul Jeffrey},
abstractNote = {Create a new paradigm of drug discovery that would reduce the time from an identified drug target to clinical candidate from the current ~6 years to just 12 months. ATOM will develop, test, and validate a multidisciplinary approach to drug discovery in which modern science, technology and engineering, supercomputing, simulations, data science, and artificial intelligence are highly integrated into a single drug-discovery platform that can ultimately be shared with the drug development community at-large.},
doi = {10.2172/1409746},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Nov 16 00:00:00 EST 2017},
month = {Thu Nov 16 00:00:00 EST 2017}
}

Technical Report:

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