Literature DB >> 15578937

Ligand.Info small-molecule Meta-Database.

Marcin von Grotthuss1, Grzegorz Koczyk, Jakub Pas, Lucjan S Wyrwicz, Leszek Rychlewski.   

Abstract

Ligand.Info is a compilation of various publicly available databases of small molecules. The total size of the Meta-Database is over 1 million entries. The compound records contain calculated three-dimensional coordinates and sometimes information about biological activity. Some molecules have information about FDA drug approving status or about anti-HIV activity. Meta-Database can be downloaded from the http://Ligand.Info web page. The database can also be screened using a Java-based tool. The tool can interactively cluster sets of molecules on the user side and automatically download similar molecules from the server. The application requires the Java Runtime Environment 1.4 or higher, which can be automatically downloaded from Sun Microsystems or Apple Computer and installed during the first use of Ligand.Info on desktop systems, which support Java (Ms Windows, Mac OS, Solaris, and Linux). The Ligand.Info Meta-Database can be used for virtual high-throughput screening of new potential drugs. Presented examples showed that using a known antiviral drug as query the system was able to find others antiviral drugs and inhibitors.

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Year:  2004        PMID: 15578937     DOI: 10.2174/1386207043328265

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  18 in total

1.  ChemMine. A compound mining database for chemical genomics.

Authors:  Thomas Girke; Li-Chang Cheng; Natasha Raikhel
Journal:  Plant Physiol       Date:  2005-06       Impact factor: 8.340

Review 2.  Ligand discovery and virtual screening using the program LIDAEUS.

Authors:  P Taylor; E Blackburn; Y G Sheng; S Harding; K-Y Hsin; D Kan; S Shave; M D Walkinshaw
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

3.  Search for inhibitors of aminoacyl-tRNA synthases by virtual click chemistry.

Authors:  Marcin Hoffmann; Mieczyslaw Torchala
Journal:  J Mol Model       Date:  2008-12-02       Impact factor: 1.810

4.  Pharmacophore modeling and virtual screening in search of novel Bruton's tyrosine kinase inhibitors.

Authors:  Aditya Sharma; B K Thelma
Journal:  J Mol Model       Date:  2019-06-06       Impact factor: 1.810

Review 5.  An Overview of the Challenges in Designing, Integrating, and Delivering BARD: A Public Chemical-Biology Resource and Query Portal for Multiple Organizations, Locations, and Disciplines.

Authors:  Andrea de Souza; Joshua A Bittker; David L Lahr; Steve Brudz; Simon Chatwin; Tudor I Oprea; Anna Waller; Jeremy J Yang; Noel Southall; Rajarshi Guha; Stephan C Schürer; Uma D Vempati; Mark R Southern; Eric S Dawson; Paul A Clemons; Thomas D Y Chung
Journal:  J Biomol Screen       Date:  2014-01-17

6.  Modulation of alpha-synuclein aggregation by dopamine analogs.

Authors:  Diane Latawiec; Fernando Herrera; Alpan Bek; Valeria Losasso; Michela Candotti; Federico Benetti; Elvio Carlino; Agata Kranjc; Marco Lazzarino; Stefano Gustincich; Paolo Carloni; Giuseppe Legname
Journal:  PLoS One       Date:  2010-02-16       Impact factor: 3.240

7.  Application of 3D Zernike descriptors to shape-based ligand similarity searching.

Authors:  Vishwesh Venkatraman; Padmasini Ramji Chakravarthy; Daisuke Kihara
Journal:  J Cheminform       Date:  2009-12-17       Impact factor: 5.514

8.  Designing focused chemical libraries enriched in protein-protein interaction inhibitors using machine-learning methods.

Authors:  Christelle Reynès; Hélène Host; Anne-Claude Camproux; Guillaume Laconde; Florence Leroux; Anne Mazars; Benoit Deprez; Robin Fahraeus; Bruno O Villoutreix; Olivier Sperandio
Journal:  PLoS Comput Biol       Date:  2010-03-05       Impact factor: 4.475

9.  Pre-docking filter for protein and ligand 3D structures.

Authors:  Alisa Wilantho; Sissades Tongsima; Ekachai Jenwitheesuk
Journal:  Bioinformation       Date:  2008-12-31

10.  wwLigCSRre: a 3D ligand-based server for hit identification and optimization.

Authors:  O Sperandio; M Petitjean; P Tuffery
Journal:  Nucleic Acids Res       Date:  2009-05-08       Impact factor: 16.971

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