Literature DB >> 25411327

XenoSite server: a web-available site of metabolism prediction tool.

Matthew K Matlock1, Tyler B Hughes1, S Joshua Swamidass1.   

Abstract

UNLABELLED: Cytochrome P450 enzymes (P450s) are metabolic enzymes that process the majority of FDA-approved, small-molecule drugs. Understanding how these enzymes modify molecule structure is key to the development of safe, effective drugs. XenoSite server is an online implementation of the XenoSite, a recently published computational model for P450 metabolism. XenoSite predicts which atomic sites of a molecule--sites of metabolism (SOMs)--are modified by P450s. XenoSite server accepts input in common chemical file formats including SDF and SMILES and provides tools for visualizing the likelihood that each atomic site is a site of metabolism for a variety of important P450s, as well as a flat file download of SOM predictions.
AVAILABILITY AND IMPLEMENTATION: XenoSite server is available at http://swami.wustl.edu/xenosite.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2014        PMID: 25411327     DOI: 10.1093/bioinformatics/btu761

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  22 in total

1.  Deep Learning to Predict the Formation of Quinone Species in Drug Metabolism.

Authors:  Tyler B Hughes; S Joshua Swamidass
Journal:  Chem Res Toxicol       Date:  2017-02-02       Impact factor: 3.739

2.  Computational Approach to Structural Alerts: Furans, Phenols, Nitroaromatics, and Thiophenes.

Authors:  Na Le Dang; Tyler B Hughes; Grover P Miller; S Joshua Swamidass
Journal:  Chem Res Toxicol       Date:  2017-03-14       Impact factor: 3.739

3.  Impact of Established and Emerging Software Tools on the Metabolite Identification Landscape.

Authors:  Anne Marie E Smith; Kiril Lanevskij; Andrius Sazonovas; Jesse Harris
Journal:  Front Toxicol       Date:  2022-06-21

4.  Statistical analysis in metabolic phenotyping.

Authors:  Benjamin J Blaise; Gonçalo D S Correia; Gordon A Haggart; Izabella Surowiec; Caroline Sands; Matthew R Lewis; Jake T M Pearce; Johan Trygg; Jeremy K Nicholson; Elaine Holmes; Timothy M D Ebbels
Journal:  Nat Protoc       Date:  2021-07-28       Impact factor: 13.491

5.  Tracking Where the O's Go.

Authors:  Amit S Kalgutkar
Journal:  ACS Cent Sci       Date:  2015-06-22       Impact factor: 14.553

6.  Construction of Metabolism Prediction Models for CYP450 3A4, 2D6, and 2C9 Based on Microsomal Metabolic Reaction System.

Authors:  Shuai-Bing He; Man-Man Li; Bai-Xia Zhang; Xiao-Tong Ye; Ran-Feng Du; Yun Wang; Yan-Jiang Qiao
Journal:  Int J Mol Sci       Date:  2016-10-09       Impact factor: 5.923

7.  Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites.

Authors:  Tyler B Hughes; Na Le Dang; Ayush Kumar; Noah R Flynn; S Joshua Swamidass
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

8.  XenoNet: Inference and Likelihood of Intermediate Metabolite Formation.

Authors:  Noah R Flynn; Na Le Dang; Michael D Ward; S Joshua Swamidass
Journal:  J Chem Inf Model       Date:  2020-06-29       Impact factor: 4.956

9.  Modeling Reactivity to Biological Macromolecules with a Deep Multitask Network.

Authors:  Tyler B Hughes; Na Le Dang; Grover P Miller; S Joshua Swamidass
Journal:  ACS Cent Sci       Date:  2016-07-29       Impact factor: 14.553

10.  Structure, In Vivo Detection, and Antibacterial Activity of Metabolites of SQ109, an Anti-Infective Drug Candidate.

Authors:  Satish R Malwal; Matthew D Zimmerman; Nadine Alvarez; Jansy P Sarathy; Véronique Dartois; Carol A Nacy; Eric Oldfield
Journal:  ACS Infect Dis       Date:  2021-07-19       Impact factor: 5.084

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