Literature DB >> 16562979

Assessing the scaffold diversity of screening libraries.

Mireille Krier1, Guillaume Bret, Didier Rognan.   

Abstract

Medicinal chemists have traditionally realized assessments of chemical diversity and subsequent compound acquisition, although a recent study suggests that experts are usually inconsistent in reviewing large data sets. To analyze the scaffold diversity of commercially available screening collections, we have developed a general workflow aimed at (1) identifying druglike compounds, (2) clustering them by maximum common substructures (scaffolds), (3) measuring the scaffold diversity encoded by each screening collection independently of its size, and finally (4) merging all common substructures in a nonredundant scaffold library that can easily be browsed by structural and topological queries. Starting from 2.4 million compounds out of 12 commercial sources, four categories of libraries could be identified: large- and medium-sized combinatorial libraries (low scaffold diversity), diverse libraries (medium diversity, medium size), and highly diverse libraries (high diversity, low size). The chemical space covered by the scaffold library can be searched to prioritize scaffold-focused libraries.

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Year:  2006        PMID: 16562979     DOI: 10.1021/ci050352v

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  24 in total

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4.  Efficient discovery of bioactive scaffolds by activity-directed synthesis.

Authors:  George Karageorgis; Stuart Warriner; Adam Nelson
Journal:  Nat Chem       Date:  2014-08-24       Impact factor: 24.427

5.  Computational and biophysical approaches to protein-protein interaction inhibition of Plasmodium falciparum AMA1/RON2 complex.

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6.  Visualisation of the chemical space of fragments, lead-like and drug-like molecules in PubChem.

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7.  Identification of Potent and Selective Inhibitors of the Plasmodium falciparum M18 Aspartyl Aminopeptidase (PfM18AAP) of Human Malaria via High-Throughput Screening.

Authors:  Timothy Spicer; Virneliz Fernandez-Vega; Peter Chase; Louis Scampavia; Joyce To; John P Dalton; Fabio L Da Silva; Tina S Skinner-Adams; Donald L Gardiner; Katharine R Trenholme; Christopher L Brown; Partha Ghosh; Patrick Porubsky; Jenna L Wang; David A Whipple; Frank J Schoenen; Peter Hodder
Journal:  J Biomol Screen       Date:  2014-03-11

8.  Cheminformatic characterization of natural products from Panama.

Authors:  Dionisio A Olmedo; Mariana González-Medina; Mahabir P Gupta; José L Medina-Franco
Journal:  Mol Divers       Date:  2017-08-22       Impact factor: 2.943

9.  Neural-Network Scoring Functions Identify Structurally Novel Estrogen-Receptor Ligands.

Authors:  Jacob D Durrant; Kathryn E Carlson; Teresa A Martin; Tavina L Offutt; Christopher G Mayne; John A Katzenellenbogen; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2015-09-04       Impact factor: 4.956

Review 10.  Therapeutic approaches to preventing cell death in Huntington disease.

Authors:  Anna Kaplan; Brent R Stockwell
Journal:  Prog Neurobiol       Date:  2012-08-28       Impact factor: 11.685

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