Work

Machine learning-based discovery of GW3965 as a therapeutic compound against invasive emm92-type group A Streptococcus

Year: 2026

Type: preprint

Source: Research Square

DOI: 10.21203/rs.3.rs-8779898/v1

Authors: Lillie M. Powell, Megan Grund, Wenxian Shi, Soo Jeon Choi, Keilly Zelaya, Sharan Bobbala, Mariette Barbier, P. Rocco LaSala, Slawomir Lukomski

Institutions: West Virginia University, Massachusetts Institute of Technology

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: West Virginia University, West Virginia Clinical and Translational Science Institute, National Institutes of Health, National Institute of General Medical Sciences

Awards: G2987985673, G8263048270, G9000271713

OpenAlex ID: W7130437221

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