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EP22943
Poster Title: Building a Diverse and Experimentally-Curated Fragment Library
Submitted on 01 May 2015
Author(s): Andrew Lowerson, Steven LaPlante, Patrick McCarren, and Michael Serrano-Wu
Affiliations: Key Organics Limited, Cornwall, UK, NMX Research and Solutions, Montreal, Broad Institute, Cambridge, MA, USA CA,
This poster was presented at CHI Drug Discovery 2015, San Diego
Poster Views: 1,558
Submitted on 01 May 2015
Author(s): Andrew Lowerson, Steven LaPlante, Patrick McCarren, and Michael Serrano-Wu
Affiliations: Key Organics Limited, Cornwall, UK, NMX Research and Solutions, Montreal, Broad Institute, Cambridge, MA, USA CA,
This poster was presented at CHI Drug Discovery 2015, San Diego
Poster Views: 1,558
Abstract: Fragment libraries are commonly assembled by Rule of 3 filtering followed by manual curation. However, the robust experimental data that ensures the proper physicochemical attributes needed for high-concentration screening is often lacking and replaced instead by in silico calculations of uncertain predictive value. A fragment collection with experimentally-determined aqueous solubility will address a major source of false positives and attrition in fragment screening libraries: Aggregation, Stability, and Solubility. 1H NMR spectral data in aqueous buffer will further enable practitioners to rapidly build fragment pools and initiate screening.Summary: Presenting a new fragment collection with experimentally-determined aqueous solubility that will address a major source of false positives and attrition in fragment screeningReferences: 1. Bradley C. Pearce , Michael J. Sofia, Andrew C. Good, Dieter M. Drexler, and David A. Stock. An Empirical Process for the Design of High-Throughput Screening Deck Filters.
Journal of Chemical Information and Modeling 2006, 46, 1060-1068.
2. Jonathan B. Baell and Georgina A. Holloway. New Substructure Filters for Removal of Pan Assay Interference Compounds (PAINS) from Screening Libraries and for Their Exclusion in Bioassays.
Journal of Medicinal Chemistry 2010, 53, 2719-2740.
3. David Lagorce, Olivier Sperandio, Hervé Galons, Maria A Miteva, and Bruno O Villoutreix. FAF-Drugs2: Free ADME/tox filtering tool to assist drug discovery and chemical biology projects.
BMC Bioinformatics 2008, 9:396.
4. Jeroen Kazius, Ross McGuire, and Roberta Bursi. Derivation and Validation of Toxicophores for Mutagenicity Prediction. Journal of Medicinal Chemistry 2005, 48, 312-320.
5. Robert F. Bruns and Ian A. Watson. Rules for identifying potentially reactive or promiscuous
Journal of Chemical Information and Modeling 2006, 46, 1060-1068.
2. Jonathan B. Baell and Georgina A. Holloway. New Substructure Filters for Removal of Pan Assay Interference Compounds (PAINS) from Screening Libraries and for Their Exclusion in Bioassays.
Journal of Medicinal Chemistry 2010, 53, 2719-2740.
3. David Lagorce, Olivier Sperandio, Hervé Galons, Maria A Miteva, and Bruno O Villoutreix. FAF-Drugs2: Free ADME/tox filtering tool to assist drug discovery and chemical biology projects.
BMC Bioinformatics 2008, 9:396.
4. Jeroen Kazius, Ross McGuire, and Roberta Bursi. Derivation and Validation of Toxicophores for Mutagenicity Prediction. Journal of Medicinal Chemistry 2005, 48, 312-320.
5. Robert F. Bruns and Ian A. Watson. Rules for identifying potentially reactive or promiscuous
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