Abstract:
:Cytochrome P450 (CYP) enzymes play an important role in the metabolism of xenobiotics. Since they are connected to drug interactions, screening for potential inhibitors is of utmost importance in drug discovery settings. Our study provides an extensive classification model for P450-drug interactions with one of the most prominent members, the 2C9 isoenzyme. Our model involved the largest set of 45,000 molecules ever used for developing prediction models. The models are based on three different types of descriptors, (a) typical one, two and three dimensional molecular descriptors, (b) chemical and pharmacophore fingerprints and (c) interaction fingerprints with docking scores. Two machine learning algorithms, the boosted tree and the multilayer feedforward of resilient backpropagation network were used and compared based on their performances. The models were validated both internally and using external validation sets. The results showed that the consensus voting technique with custom probability thresholds could provide promising results even in large-scale cases without any restrictions on the applicability domain. Our best model was capable to predict the 2C9 inhibitory activity with the area under the receiver operating characteristic curve (AUC) of 0.85 and 0.84 for the internal and the external test sets, respectively. The chemical space covered with the largest available dataset has reached its limit encompassing publicly available bioactivity data for the 2C9 isoenzyme.
journal_name
J Comput Aided Mol Desjournal_title
Journal of computer-aided molecular designauthors
Rácz A,Keserű GMdoi
10.1007/s10822-020-00308-ysubject
Has Abstractpub_date
2020-08-01 00:00:00pages
831-839issue
8eissn
0920-654Xissn
1573-4951pii
10.1007/s10822-020-00308-yjournal_volume
34pub_type
杂志文章abstract::We report the implementation of molecular modeling approaches developed as a part of the 2016 Grand Challenge 2, the blinded competition of computer aided drug design technologies held by the D3R Drug Design Data Resource ( https://drugdesigndata.org/ ). The challenge was focused on the ligands of the farnesoid X rece...
journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
pub_type: 杂志文章
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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pub_type: 杂志文章
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
pub_type: 杂志文章
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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journal_title:Journal of computer-aided molecular design
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abstract::A set of algorithms designed to enhance the display of protein binding cavities is presented. These algorithms, collectively entitled CAVITY SEARCH, allow the user to isolate and fully define the extent of a particular cavity. Solid modeling techniques are employed to produce a detailed cast of the active site region,...
journal_title:Journal of computer-aided molecular design
pub_type: 杂志文章
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abstract::The interaction mechanism of triazolyl substituted tetrahydrobenzofuran derivatives (compound 1 (N, N-Dipropyl-1-(2-phenyl-4,5,6,7-tetrahydrobenzofuran-4-yl)-1H-1,2,3-triazole-4-methanamine) and 2 (1-(2-Phenyl-4,5,6,7-tetrahydrobenzofuran-4-yl)-4-(morpholin-4-ylmethyl)-1H-1,2,3-triazole)) with H(+),K(+)-ATPase at diff...
journal_title:Journal of computer-aided molecular design
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abstract::The backbone conformations of the cyclic moieties of 1-[beta-mercaptopropionic acid]-oxytocin [( Mpa1]-OT), [1-beta-mercaptopropionic acid]-arginine-vasopressin [( Mpa1]-AVP), [1-(beta'-mercapto-beta,beta-cyclopentamethylene)propionic acid]-arginine-vasopressin [( Cpp1]-AVP), and [1-thiosalicylic acid]-arginine-vasopr...
journal_title:Journal of computer-aided molecular design
pub_type: 杂志文章
doi:10.1007/BF01532991
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abstract::Virtual Ligand Screening (VLS) has become an integral part of the drug discovery process for many pharmaceutical companies. Ligand similarity searches provide a very powerful method of screening large databases of ligands to identify possible hits. If these hits belong to new chemotypes the method is deemed even more ...
journal_title:Journal of computer-aided molecular design
pub_type: 杂志文章
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