Literature DB >> 22628523

DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment.

Andrea Volkamer1, Daniel Kuhn, Friedrich Rippmann, Matthias Rarey.   

Abstract

MOTIVATION: Many drug discovery projects fail because the underlying target is finally found to be undruggable. Progress in structure elucidation of proteins now opens up a route to automatic structure-based target assessment. DoGSiteScorer is a newly developed automatic tool combining pocket prediction, characterization and druggability estimation and is now available through a web server. AVAILABILITY: The DoGSiteScorer web server is freely available for academic use at http://dogsite.zbh.uni-hamburg.de CONTACT: rarey@zbh.uni-hamburg.de.

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Year:  2012        PMID： 22628523     DOI： 10.1093/bioinformatics/bts310

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  102 in total

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5.  Type II Binders Targeting the "GLR-Out" Conformation of the Pseudokinase STRADα.

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6.  Epigenetic Modulators as Potential Multi-targeted Drugs Against Hedgehog Pathway for Treatment of Cancer.

Authors:  Anshika N Singh; Neeti Sharma
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Journal:  Genes Genomics       Date:  2020-03-19       Impact factor: 1.839

8.  Inhibition of the human respiratory syncytial virus small hydrophobic protein and structural variations in a bicelle environment.

Authors:  Yan Li; Janet To; Carmina Verdià-Baguena; Silvia Dossena; Wahyu Surya; Mei Huang; Markus Paulmichl; Ding Xiang Liu; Vicente M Aguilella; Jaume Torres
Journal:  J Virol       Date:  2014-08-06       Impact factor: 5.103

9.  New Frontiers in Druggability.

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Journal:  J Med Chem       Date:  2015-08-11       Impact factor: 7.446

10.  Druggability of Coronary Artery Disease Risk Loci.

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Journal:  Circ Genom Precis Med       Date:  2018-08
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