Literature DB >> 33118813

ZINC20-A Free Ultralarge-Scale Chemical Database for Ligand Discovery.

John J Irwin1, Khanh G Tang1, Jennifer Young1, Chinzorig Dandarchuluun1, Benjamin R Wong1, Munkhzul Khurelbaatar1, Yurii S Moroz2,3, John Mayfield4, Roger A Sayle4.   

Abstract

Identifying and purchasing new small molecules to test in biological assays are enabling for ligand discovery, but as purchasable chemical space continues to grow into the tens of billions based on inexpensive make-on-demand compounds, simply searching this space becomes a major challenge. We have therefore developed ZINC20, a new version of ZINC with two major new features: billions of new molecules and new methods to search them. As a fully enumerated database, ZINC can be searched precisely using explicit atomic-level graph-based methods, such as SmallWorld for similarity and Arthor for pattern and substructure search, as well as 3D methods such as docking. Analysis of the new make-on-demand compound sets by these and related tools reveals startling features. For instance, over 97% of the core Bemis-Murcko scaffolds in make-on-demand libraries are unavailable from "in-stock" collections. Correspondingly, the number of new Bemis-Murcko scaffolds is rising almost as a linear fraction of the elaborated molecules. Thus, an 88-fold increase in the number of molecules in the make-on-demand versus the in-stock sets is built upon a 16-fold increase in the number of Bemis-Murcko scaffolds. The make-on-demand library is also more structurally diverse than physical libraries, with a massive increase in disc- and sphere-like shaped molecules. The new system is freely available at zinc20.docking.org.

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Year:  2020        PMID: 33118813     DOI: 10.1021/acs.jcim.0c00675

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


  34 in total

1.  Creation of targeted compound libraries based on 3D shape recognition.

Authors:  Andrii Kyrylchuk; Iryna Kravets; Anton Cherednichenko; Valentyna Tararina; Anna Kapeliukha; Dmytro Dudenko; Mykola Protopopov
Journal:  Mol Divers       Date:  2022-05-24       Impact factor: 2.943

2.  The Brazilian compound library (BraCoLi) database: a repository of chemical and biological information for drug design.

Authors:  Gabriel Corrêa Veríssimo; Valtair Severino Dos Santos Júnior; Ingrid Ariela do Rosário de Almeida; Marina Sant'Anna Mitraud Ruas; Lukas Galuppo Coutinho; Renata Barbosa de Oliveira; Ricardo José Alves; Vinícius Gonçalves Maltarollo
Journal:  Mol Divers       Date:  2022-01-28       Impact factor: 2.943

3.  CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding.

Authors:  Suzanne Ackloo; Rima Al-Awar; Rommie E Amaro; Cheryl H Arrowsmith; Hatylas Azevedo; Robert A Batey; Yoshua Bengio; Ulrich A K Betz; Cristian G Bologa; John D Chodera; Wendy D Cornell; Ian Dunham; Gerhard F Ecker; Kristina Edfeldt; Aled M Edwards; Michael K Gilson; Claudia R Gordijo; Gerhard Hessler; Alexander Hillisch; Anders Hogner; John J Irwin; Johanna M Jansen; Daniel Kuhn; Andrew R Leach; Alpha A Lee; Uta Lessel; Maxwell R Morgan; John Moult; Ingo Muegge; Tudor I Oprea; Benjamin G Perry; Patrick Riley; Sophie A L Rousseaux; Kumar Singh Saikatendu; Vijayaratnam Santhakumar; Matthieu Schapira; Cora Scholten; Matthew H Todd; Masoud Vedadi; Andrea Volkamer; Timothy M Willson
Journal:  Nat Rev Chem       Date:  2022-02-15       Impact factor: 34.571

4.  Machine Learning-Enabled Pipeline for Large-Scale Virtual Drug Screening.

Authors:  Aayush Gupta; Huan-Xiang Zhou
Journal:  J Chem Inf Model       Date:  2021-08-17       Impact factor: 6.162

5.  Structure-based inhibitor optimization for the Nsp3 Macrodomain of SARS-CoV-2.

Authors:  Stefan Gahbauer; Galen J Correy; Marion Schuller; Matteo P Ferla; Yagmur Umay Doruk; Moira Rachman; Taiasean Wu; Morgan Diolaiti; Siyi Wang; R Jeffrey Neitz; Daren Fearon; Dmytro Radchenko; Yurii Moroz; John J Irwin; Adam R Renslo; Jenny C Taylor; Jason E Gestwicki; Frank von Delft; Alan Ashworth; Ivan Ahel; Brian K Shoichet; James S Fraser
Journal:  bioRxiv       Date:  2022-06-28

6.  Targeting non-structural proteins of Hepatitis C virus for predicting repurposed drugs using QSAR and machine learning approaches.

Authors:  Sakshi Kamboj; Akanksha Rajput; Amber Rastogi; Anamika Thakur; Manoj Kumar
Journal:  Comput Struct Biotechnol J       Date:  2022-06-30       Impact factor: 6.155

7.  Assigning confidence to molecular property prediction.

Authors:  AkshatKumar Nigam; Robert Pollice; Matthew F D Hurley; Riley J Hickman; Matteo Aldeghi; Naruki Yoshikawa; Seyone Chithrananda; Vincent A Voelz; Alán Aspuru-Guzik
Journal:  Expert Opin Drug Discov       Date:  2021-06-15       Impact factor: 7.050

Review 8.  A practical guide to large-scale docking.

Authors:  Brian J Bender; Stefan Gahbauer; Andreas Luttens; Jiankun Lyu; Chase M Webb; Reed M Stein; Elissa A Fink; Trent E Balius; Jens Carlsson; John J Irwin; Brian K Shoichet
Journal:  Nat Protoc       Date:  2021-09-24       Impact factor: 17.021

Review 9.  Molecular Simulations and Drug Discovery of Adenosine Receptors.

Authors:  Jinan Wang; Apurba Bhattarai; Hung N Do; Sana Akhter; Yinglong Miao
Journal:  Molecules       Date:  2022-03-22       Impact factor: 4.411

10.  Progress on open chemoinformatic tools for expanding and exploring the chemical space.

Authors:  José L Medina-Franco; Norberto Sánchez-Cruz; Edgar López-López; Bárbara I Díaz-Eufracio
Journal:  J Comput Aided Mol Des       Date:  2021-06-18       Impact factor: 4.179

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