Literature DB >> 15667143

ZINC--a free database of commercially available compounds for virtual screening.

John J Irwin1, Brian K Shoichet.   

Abstract

A critical barrier to entry into structure-based virtual screening is the lack of a suitable, easy to access database of purchasable compounds. We have therefore prepared a library of 727,842 molecules, each with 3D structure, using catalogs of compounds from vendors (the size of this library continues to grow). The molecules have been assigned biologically relevant protonation states and are annotated with properties such as molecular weight, calculated LogP, and number of rotatable bonds. Each molecule in the library contains vendor and purchasing information and is ready for docking using a number of popular docking programs. Within certain limits, the molecules are prepared in multiple protonation states and multiple tautomeric forms. In one format, multiple conformations are available for the molecules. This database is available for free download (http://zinc.docking.org) in several common file formats including SMILES, mol2, 3D SDF, and DOCK flexibase format. A Web-based query tool incorporating a molecular drawing interface enables the database to be searched and browsed and subsets to be created. Users can process their own molecules by uploading them to a server. Our hope is that this database will bring virtual screening libraries to a wide community of structural biologists and medicinal chemists.

Mesh:

Year:  2005        PMID: 15667143      PMCID: PMC1360656          DOI: 10.1021/ci049714+

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


  28 in total

1.  Enhanced CACTVS browser of the Open NCI Database.

Authors:  Wolf-Dietrich Ihlenfeldt; Johannes H Voigt; Bruno Bienfait; Frank Oellien; Marc C Nicklaus
Journal:  J Chem Inf Comput Sci       Date:  2002 Jan-Feb

2.  Protein-protein docking with multiple residue conformations and residue substitutions.

Authors:  David M Lorber; Maria K Udo; Brian K Shoichet
Journal:  Protein Sci       Date:  2002-06       Impact factor: 6.725

Review 3.  Structure-based virtual screening: an overview.

Authors:  Paul D Lyne
Journal:  Drug Discov Today       Date:  2002-10-15       Impact factor: 7.851

4.  Assessing the performance of OMEGA with respect to retrieving bioactive conformations.

Authors:  Jonas Boström; Jeremy R Greenwood; Johan Gottfries
Journal:  J Mol Graph Model       Date:  2003-03       Impact factor: 2.518

Review 5.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

6.  A model binding site for testing scoring functions in molecular docking.

Authors:  Binqing Q Wei; Walter A Baase; Larry H Weaver; Brian W Matthews; Brian K Shoichet
Journal:  J Mol Biol       Date:  2002-09-13       Impact factor: 5.469

7.  From knowing to controlling: a path from genomics to drugs using small molecule probes.

Authors:  Robert L Strausberg; Stuart L Schreiber
Journal:  Science       Date:  2003-04-11       Impact factor: 47.728

Review 8.  The many roles of computation in drug discovery.

Authors:  William L Jorgensen
Journal:  Science       Date:  2004-03-19       Impact factor: 47.728

9.  Flexible ligand docking using conformational ensembles.

Authors:  D M Lorber; B K Shoichet
Journal:  Protein Sci       Date:  1998-04       Impact factor: 6.725

10.  Simple, intuitive calculations of free energy of binding for protein-ligand complexes. 2. Computational titration and pH effects in molecular models of neuraminidase-inhibitor complexes.

Authors:  Micaela Fornabaio; Pietro Cozzini; Andrea Mozzarelli; Donald J Abraham; Glen E Kellogg
Journal:  J Med Chem       Date:  2003-10-09       Impact factor: 7.446

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  1023 in total

1.  Scaffold hopping for identification of novel D(2) antagonist based on 3D pharmacophore modelling of illoperidone analogs.

Authors:  Radha Charan Dash; Sharad H Bhosale; Suhas M Shelke; Mugdha R Suryawanshi; Ashish M Kanhed; Kakasaheb R Mahadik
Journal:  Mol Divers       Date:  2011-12-08       Impact factor: 2.943

2.  Structural basis for μ-opioid receptor binding and activation.

Authors:  Adrian W R Serohijos; Shuangye Yin; Feng Ding; Josee Gauthier; Dustin G Gibson; William Maixner; Nikolay V Dokholyan; Luda Diatchenko
Journal:  Structure       Date:  2011-11-09       Impact factor: 5.006

3.  Targeting the binding function 3 (BF3) site of the human androgen receptor through virtual screening.

Authors:  Nathan A Lack; Peter Axerio-Cilies; Peyman Tavassoli; Frank Q Han; Ka Hong Chan; Clementine Feau; Eric LeBlanc; Emma Tomlinson Guns; R Kiplin Guy; Paul S Rennie; Artem Cherkasov
Journal:  J Med Chem       Date:  2011-11-18       Impact factor: 7.446

4.  Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors.

Authors:  Rand Shahin; Saja Alqtaishat; Mutasem O Taha
Journal:  J Comput Aided Mol Des       Date:  2011-12-14       Impact factor: 3.686

5.  A reverse combination of structure-based and ligand-based strategies for virtual screening.

Authors:  Alvaro Cortés-Cabrera; Federico Gago; Antonio Morreale
Journal:  J Comput Aided Mol Des       Date:  2012-03-07       Impact factor: 3.686

6.  Structure-based ligand discovery for the protein-protein interface of chemokine receptor CXCR4.

Authors:  Michael M Mysinger; Dahlia R Weiss; Joshua J Ziarek; Stéphanie Gravel; Allison K Doak; Joel Karpiak; Nikolaus Heveker; Brian K Shoichet; Brian F Volkman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-19       Impact factor: 11.205

7.  A novel benzodioxole-containing inhibitor of Toxoplasma gondii growth alters the parasite cell cycle.

Authors:  Edwin Kamau; Tracy Meehan; Mark D Lavine; Gustavo Arrizabalaga; Gabriela Mustata Wilson; Jon Boyle
Journal:  Antimicrob Agents Chemother       Date:  2011-09-26       Impact factor: 5.191

Review 8.  Virtual screening: an endless staircase?

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2010-04       Impact factor: 84.694

9.  Shallow Representation Learning via Kernel PCA Improves QSAR Modelability.

Authors:  Stefano E Rensi; Russ B Altman
Journal:  J Chem Inf Model       Date:  2017-08-07       Impact factor: 4.956

10.  Molecular Properties That Define the Activities of Antibiotics in Escherichia coli and Pseudomonas aeruginosa.

Authors:  Connor J Cooper; Ganesh Krishnamoorthy; David Wolloscheck; John K Walker; Valentin V Rybenkov; Jerry M Parks; Helen I Zgurskaya
Journal:  ACS Infect Dis       Date:  2018-05-25       Impact factor: 5.084

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