NDLI: Virtual screening of cytochrome P450 2A6 inhibitors from traditional Chinese medicine using support vector machine and molecular docking

Content Provider	IEEE Xplore Digital Library
Author	Luo, Ganggang Lu, Fang Jiang, Ludi Cai, Yilian Zhang, Yanling
Copyright Year	2015
Description	Author affiliation: School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, China (Luo, Ganggang; Lu, Fang; Jiang, Ludi; Cai, Yilian; Zhang, Yanling)
Abstract	Cytochrome P450 2A6 (CYP2A6), which is a member of the cytochrome P450 (CYP450) mixed-function oxidase system and is highly expressed in liver, is involved in the metabolism of drugs in the body. The inhibition of it often reduces the metabolic rate of the corresponding metabolites and then may cause unwanted drug-drug interaction (DDI). In this study, discriminative models of CYP2A6 inhibitors were created by using the support vector machine (SVM) method. And the optimal model was selected based on three assessment criteria, including accuracy, sensitivity and specificity, which were all above 95%. Then, the optimal model was used to distinguish potential inhibitors of CYP2A6 from traditional Chinese medicine database (TCMD), which resulting in a hit list of 619 compounds. These compounds were further refined by using molecular docking and then 23 compounds with higher scores than the original ligand in the crystal structure of CYP2A6 enzyme were retained. Among them, Peucedanin, which has better prediction results, might exhibits inhibition effect on CYP2A6. This paper suggests the applicability of computational methods for obtaining potential inhibitors of CYP2A6 from Natural Products, and also provides guidance for the rational application of drugs in clinical.
Starting Page	505
Ending Page	509
File Size	819287
Page Count	5
File Format	PDF
e-ISBN	9781509000227
DOI	10.1109/BMEI.2015.7401557
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Drugs virtual screening Crystals traditional Chinese medicine Biochemistry Support Vector Machine Compounds Indexes Support vector machines Inhibitors molecular docking CYP2A6 inhibitors drug-drug interaction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Prediction of hepatotoxicity of traditional Chinese medicine compounds by support vector machine approach

Drug-Drug Interactions prediction from enzyme action crossing through machine learning approaches

Docking, molecular dynamics simulation studies, and structure-based QSAR model on cytochrome P450 2A6 inhibitors

A combination of pharmacophore modeling, molecular docking and virtual screening for NPC1L1 receptor inhibitors from Chinese herbs

Cytochrome P450 2A6 deletion polymorphism and risk of lung cancer: a meta-analysis

Combination Computing of Support Vector Machine, Support Vector Regression and Molecular Docking for Potential Cytochrome P450 1A2 Inhibitors

A combination of support vector regression, structure-based pharmacophore and virtual screening for cytochrome P450 2C9 inhibitors from Chinese herbs

Inhibition of cytochrome P450 (CYP3A4) activity by extracts from 57 plants used in traditional chinese medicine (TCM)

TVscreen: Trend Vector Virtual SCREENing of Large Commercial Compounds Collections

Virtual screening of cytochrome P450 2A6 inhibitors from traditional Chinese medicine using support vector machine and molecular docking

Similar Documents

Prediction of hepatotoxicity of traditional Chinese medicine compounds by support vector machine approach

Drug-Drug Interactions prediction from enzyme action crossing through machine learning approaches

Docking, molecular dynamics simulation studies, and structure-based QSAR model on cytochrome P450 2A6 inhibitors

A combination of pharmacophore modeling, molecular docking and virtual screening for NPC1L1 receptor inhibitors from Chinese herbs

Cytochrome P450 2A6 deletion polymorphism and risk of lung cancer: a meta-analysis

Combination Computing of Support Vector Machine, Support Vector Regression and Molecular Docking for Potential Cytochrome P450 1A2 Inhibitors

A combination of support vector regression, structure-based pharmacophore and virtual screening for cytochrome P450 2C9 inhibitors from Chinese herbs

Inhibition of cytochrome P450 (CYP3A4) activity by extracts from 57 plants used in traditional chinese medicine (TCM)

TVscreen: Trend Vector Virtual SCREENing of Large Commercial Compounds Collections

Virtual screening of cytochrome P450 2A6 inhibitors from traditional Chinese medicine using support vector machine and molecular docking