BCL::Conf: Improved Open-Source Knowledge-Based Conformation Sampling Using the Crystallography Open Database.
BCL::Conf: Improved Open-Source Knowledge-Based Conformation Sampling Using the Crystallography Open Database.
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BCL::Conf:使用晶体学开放数据库改进的基于知识的开源构象采样。
DOI:
10.1021/acs.jcim.0c01140
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发表时间:
2021-01-25
影响因子:
5.6
通讯作者:
Meiler J
中科院分区:
文献类型:
--
作者:
Mendenhall J;Brown BP;Kothiwale S;Meiler J
We previously described BCL::Conf, a knowledge-based conformation sampling algorithm utilizing a small molecule fragment rotamer library derived from the Cambridge Structural Database (CSD, license required), as a component of the BioChemical Library (BCL) cheminformatics toolkit. This paper describes substantial improvements made to the BCL::Conf algorithm and a transition to a rotamer library derived from molecules in the Crystallography Open Database (COD, no license required). We demonstrate the performance of the new BCL::Conf on native conformer recovery in the Platinum dataset of high-quality protein-ligand complexes. This set of 2859 structures has previously been used to assess the performance of over a dozen conformer generation algorithms, including the Conformator, Balloon, RDKit DG, ETKDG, Confab, Frog2, MultiConf-DOCK, CSD conformer generator, ConfGenX-OPSL3 force field, Omega, excalc, iCon, and MOE. These benchmarks suggest that the CSD conformer generator is at the state of the art of reported conformer generators. Our results indicate that the improved BCL::Conf significantly outperforms the CSD conformer generation algorithm at binding conformer recovery across a range of ensemble sizes and with similarly fast rates of conformer generation. BCL::Conf is now distributed with the COD-derived rotamer library and is free for academic use. The BCL can be downloaded at http://meilerlab.org/bclcommons for Windows, Linux, or Apple operating systems. BCL::Conf can now also be accessed via webserver at http://meilerlab.org/bclconf.
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影响因子:
3.7
作者:
DeLuca S;Khar K;Meiler J
通讯作者:
Meiler J
影响因子:
5.6
作者:
Friedrich, Nils-Ole;Meyder, Agnes;Kirchmair, Johannes
通讯作者:
Kirchmair, Johannes
影响因子:
5.6
作者:
Friedrich, Nils-Ole, V;Flachsenberg, Florian;Rarey, Matthias
通讯作者:
Rarey, Matthias
影响因子:
6.1
作者:
Gražulis S;Chateigner D;Downs RT;Yokochi AF;Quirós M;Lutterotti L;Manakova E;Butkus J;Moeck P;Le Bail A
通讯作者:
Le Bail A
影响因子:
3
作者:
Iino, Daisuke;Takakura, Yasuaki;Yajima, Shunsuke
通讯作者:
Yajima, Shunsuke