J
Jonathan B. Baell
Researcher at Monash University
Publications - 221
Citations - 10982
Jonathan B. Baell is an academic researcher from Monash University. The author has contributed to research in topics: Chemistry & Catalysis. The author has an hindex of 41, co-authored 202 publications receiving 8985 citations. Previous affiliations of Jonathan B. Baell include Nanjing Normal University & Monash University, Clayton campus.
Papers
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Journal ArticleDOI
New Substructure Filters for Removal of Pan Assay Interference Compounds (PAINS) from Screening Libraries and for Their Exclusion in Bioassays
TL;DR: A number of substructural features which can help to identify compounds that appear as frequent hitters (promiscuous compounds) in many biochemical high throughput screens are described.
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Chemistry: Chemical con artists foil drug discovery
TL;DR: It is shown that academic researchers, drawn into drug discovery without appropriate guidance, are doing muddled science, and time and research money are wasted in attempts to optimize the activity of these compounds.
Journal ArticleDOI
The promise and peril of chemical probes.
Cheryl H. Arrowsmith,James E. Audia,Christopher M. Austin,Jonathan B. Baell,Jonathan Bennett,Julian Blagg,C. Bountra,Paul Brennan,Peter Brown,Mark E. Bunnage,Carolyn Buser-Doepner,Robert M. Campbell,Adrian Carter,Philip Cohen,Robert A. Copeland,Ben Cravatt,Jayme L. Dahlin,Dashyant Dhanak,Aled M. Edwards,Mathias Frederiksen,Stephen V. Frye,Nathanael S. Gray,Charles E. Grimshaw,David Hepworth,Trevor Howe,Kilian Huber,Jian Jin,Stefan Knapp,Joanne Kotz,Ryan G. Kruger,Derek B. Lowe,Mary M. Mader,Brian D. Marsden,Anke Mueller-Fahrnow,Susanne Müller,Ronan C. O'Hagan,John P. Overington,Dafydd R. Owen,Saul H Rosenberg,Bryan L. Roth,Ruth A. Ross,Matthieu Schapira,Stuart L. Schreiber,Brian K. Shoichet,Michael Sundström,Giulio Superti-Furga,Jack Taunton,Leticia Toledo-Sherman,Chris Walpole,Michael A. Walters,Timothy M. Willson,Paul Workman,Robert N. Young,William J. Zuercher +53 more
TL;DR: A community-driven wiki resource to improve quality and convey current best practice on chemical probes, and to help address shortcomings of poor quality or that are used incorrectly generate misleading results.
Journal ArticleDOI
Seven Year Itch: Pan-Assay Interference Compounds (PAINS) in 2017-Utility and Limitations.
TL;DR: This work outlines for the first time all necessary considerations for the appropriate use of PAINS filters.
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Feeling Nature's PAINS: Natural Products, Natural Product Drugs, and Pan Assay Interference Compounds (PAINS).
TL;DR: It is shown that the concept of PAINS is relevant to compounds of natural origin, but that the context of the biological readout is an important factor that must be brought into consideration.