Literature DB >> 19754425

Extraction of structure-activity relationship information from high-throughput screening data.

Mathias Wawer1, Jürgen Bajorath.   

Abstract

The wealth of biological screening data that is generated poses substantial problems to medicinal chemistry. A key question becomes how to best prioritize and select hits for further evaluation from the many weakly active compounds that are typically identified in HTS campaigns. Such decisions can be substantially supported if it is possible to evaluate preliminary structure-activity relationship (SAR) information that might be contained in screening data. If SAR information can be extracted from screening data, one can attempt to estimate the chemical optimization potential of hits. We will discuss different types of approaches that have been developed to facilitate HTS data analysis, with special emphasis on recent methods to explore SAR information contained in screening sets.

Mesh:

Year:  2009        PMID: 19754425     DOI: 10.2174/092986709789378189

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  7 in total

Review 1.  No time to lose--high throughput screening to assess nanomaterial safety.

Authors:  R Damoiseaux; S George; M Li; S Pokhrel; Z Ji; B France; T Xia; E Suarez; R Rallo; L Mädler; Y Cohen; E M V Hoek; A Nel
Journal:  Nanoscale       Date:  2011-02-07       Impact factor: 7.790

Review 2.  Zebrafish as a model to investigate CNS myelination.

Authors:  Marnie A Preston; Wendy B Macklin
Journal:  Glia       Date:  2014-09-27       Impact factor: 7.452

Review 3.  Development of small molecule non-peptide formyl peptide receptor (FPR) ligands and molecular modeling of their recognition.

Authors:  I A Schepetkin; A I Khlebnikov; M P Giovannoni; L N Kirpotina; A Cilibrizzi; M T Quinn
Journal:  Curr Med Chem       Date:  2014       Impact factor: 4.530

4.  Automated Structure-Activity Relationship Mining: Connecting Chemical Structure to Biological Profiles.

Authors:  Mathias J Wawer; David E Jaramillo; Vlado Dančík; Daniel M Fass; Stephen J Haggarty; Alykhan F Shamji; Bridget K Wagner; Stuart L Schreiber; Paul A Clemons
Journal:  J Biomol Screen       Date:  2014-04-07

5.  An informatic pipeline for managing high-throughput screening experiments and analyzing data from stereochemically diverse libraries.

Authors:  Carol A Mulrooney; David L Lahr; Michael J Quintin; Willmen Youngsaye; Dennis Moccia; Jacob K Asiedu; Evan L Mulligan; Lakshmi B Akella; Lisa A Marcaurelle; Philip Montgomery; Joshua A Bittker; Paul A Clemons; Stephen Brudz; Sivaraman Dandapani; Jeremy R Duvall; Nicola J Tolliday; Andrea De Souza
Journal:  J Comput Aided Mol Des       Date:  2013-04-13       Impact factor: 3.686

6.  Selecting improved peptidyl motifs for cytosolic delivery of disparate protein and nanoparticle materials.

Authors:  Kelly Boeneman; James B Delehanty; Juan B Blanco-Canosa; Kimihiro Susumu; Michael H Stewart; Eunkeu Oh; Alan L Huston; Glyn Dawson; Sampat Ingale; Ryan Walters; Miriam Domowicz; Jeffrey R Deschamps; W Russ Algar; Stassi Dimaggio; Janet Manono; Christopher M Spillmann; Darren Thompson; Travis L Jennings; Philip E Dawson; Igor L Medintz
Journal:  ACS Nano       Date:  2013-05-28       Impact factor: 15.881

Review 7.  The essential roles of chemistry in high-throughput screening triage.

Authors:  Jayme L Dahlin; Michael A Walters
Journal:  Future Med Chem       Date:  2014-07       Impact factor: 3.808

  7 in total

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