S
Scott A. Wildman
Researcher at University of Wisconsin-Madison
Publications - 36
Citations - 1281
Scott A. Wildman is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Virtual screening & Hepsin. The author has an hindex of 15, co-authored 35 publications receiving 1019 citations. Previous affiliations of Scott A. Wildman include University of Michigan & University of Washington.
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Journal ArticleDOI
Structure-based drug design and optimization of mannoside bacterial FimH antagonists.
Zhenfu Han,Jerome S. Pinkner,Bradley Ford,Robert Obermann,William Nolan,Scott A. Wildman,Doug W. Hobbs,Tom Ellenberger,Corinne K. Cusumano,Scott J. Hultgren,James W. Janetka +10 more
TL;DR: Dimeric analogues linked through the biaryl ring show an impressive 8-fold increase in potency relative to monomeric matched pairs and represent the most potent FimH antagonists identified to date.
Journal ArticleDOI
The antimicrobial potential of Streptomyces from insect microbiomes
Marc G. Chevrette,Caitlin M Carlson,Humberto E. Ortega,Chris S. Thomas,Gene E. Ananiev,Kenneth J. Barns,Adam J. Book,Julian Cagnazzo,Camila Carlos,Will Flanigan,Kirk J. Grubbs,Heidi A. Horn,F. Michael Hoffmann,Jonathan L. Klassen,Jennifer J. Knack,Gina R. Lewin,Bradon R. McDonald,Laura K. Muller,Weilan G. P. Melo,Adrián A. Pinto-Tomás,Amber Schmitz,Evelyn Wendt-Pienkowski,Scott A. Wildman,Miao Zhao,Fan Zhang,Tim S. Bugni,David R. Andes,Mônica Tallarico Pupo,Cameron R. Currie +28 more
TL;DR: The antimicrobial potential of insect-associated Streptomyces is uncovered and a compound, cyphomycin, active against multidrug-resistant fungal pathogens is identified, indicating host microbiomes are feasible sources for drug discovery.
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Prediction of Physicochemical Parameters by Atomic Contributions.
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Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening
Spencer S. Ericksen,Haozhen Wu,Huikun Zhang,Lauren A. Michael,Michael A. Newton,F. Michael Hoffmann,Scott A. Wildman +6 more
TL;DR: Traditional consensus scoring methods are compared with a novel, unsupervised gradient boosting approach that observed increased score variation among active ligands and developed a statistical mixture model consensus score based on combining score means and variances.
Journal ArticleDOI
Optimizing small molecule inhibitors of calcium-dependent protein kinase 1 to prevent infection by Toxoplasma gondii
Sebastian Lourido,Chao Zhang,Michael S. Lopez,Keliang Tang,Jennifer Barks,Qiuling Wang,Scott A. Wildman,Kevan M. Shokat,L. David Sibley +8 more
TL;DR: In this article, a number of new derivatives of 3-methyl-benzyl-PP (3-MB-PP) were synthesized to prevent lethal infection with T. gondii in the mouse model.