ZINC20-A Free Ultralarge-Scale Chemical Database for Ligand Discovery.
ZINC20-A Free Ultralarge-Scale Chemical Database for Ligand Discovery.
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DOI:
10.1021/acs.jcim.0c00675
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发表时间:
2020-12-28
影响因子:
5.6
通讯作者:
Sayle RA
中科院分区:
文献类型:
--
作者:
Irwin JJ;Tang KG;Young J;Dandarchuluun C;Wong BR;Khurelbaatar M;Moroz YS;Mayfield J;Sayle RA
Identifying and purchasing new small molecules to test in biological assays is 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, 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 vs 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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影响因子:
5.6
作者:
Irwin JJ;Sterling T;Mysinger MM;Bolstad ES;Coleman RG
通讯作者:
Coleman RG
影响因子:
4.6
作者:
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通讯作者:
Moroz, Yurii S.
影响因子:
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通讯作者:
Dubocovich, Margarita L.
DOI:
10.2174/1386207317666140323133841
发表时间:
2014-05-01
影响因子:
1.8
作者:
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通讯作者:
Renslo, Adam R.
影响因子:
7.3
作者:
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通讯作者:
Traphagen, LM