首页|Investigators from Michigan State University Target Machine Learn- ing (One Bead Per Residue Can Describe All-atom Structures)
Investigators from Michigan State University Target Machine Learn- ing (One Bead Per Residue Can Describe All-atom Structures)
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Elsevier
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from East Lansing, Michigan, by NewsRx journalists, research stated, “Atomistic resolution is the standard for high -resolution biomolecular structures, but experimental structural data are often at lower resolution. Coarse -grained models are also used extensively in computational studies to reach biologically relevant spatial and temporal scales.” Funders for this research include NIH National Institute of General Medical Sciences (NIGMS), National Science Foundation (NSF).
East LansingMichiganUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningMichigan State University
NETL
NSTL
Elsevier
