Literature DB >> 29522123

eMolTox: prediction of molecular toxicity with confidence.

Changge Ji1,2, Fredrik Svensson2,3, Azedine Zoufir2, Andreas Bender2.   

Abstract

Summary: In this work, we present eMolTox, a web server for the prediction of potential toxicity associated with a given molecule. A total of 174 toxicology-related in vitro/vivo experimental datasets were used for model construction and Mondrian conformal prediction was used to estimate the confidence of the resulting predictions. Toxic substructure analysis is also implemented in eMolTox. eMolTox predicts and displays a wealth of information of potential molecular toxicities for safety analysis in drug development. Availability and implementation: The eMolTox Server is freely available for use on the web at http://xundrug.cn/moltox. Supplementary information: Supplementary data are available at Bioinformatics online.

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Year:  2018        PMID: 29522123     DOI: 10.1093/bioinformatics/bty135

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


  11 in total

1.  Discovery of New Inhibitors of eEF2K from Traditional Chinese Medicine Based on In Silico Screening and In Vitro Experimental Validation.

Authors:  Qinghua Fu; Xiaomei Liu; Yan Li; Peng Wang; Tian Wu; Haihan Xiao; Yameng Zhao; Qichao Liao; Ziyi Song
Journal:  Molecules       Date:  2022-07-30       Impact factor: 4.927

Review 2.  Application of Mathematical Modeling and Computational Tools in the Modern Drug Design and Development Process.

Authors:  Md Rifat Hasan; Ahad Amer Alsaiari; Burhan Zain Fakhurji; Mohammad Habibur Rahman Molla; Amer H Asseri; Md Afsar Ahmed Sumon; Moon Nyeo Park; Foysal Ahammad; Bonglee Kim
Journal:  Molecules       Date:  2022-06-29       Impact factor: 4.927

3.  Large-Scale Modeling of Multispecies Acute Toxicity End Points Using Consensus of Multitask Deep Learning Methods.

Authors:  Sankalp Jain; Vishal B Siramshetty; Vinicius M Alves; Eugene N Muratov; Nicole Kleinstreuer; Alexander Tropsha; Marc C Nicklaus; Anton Simeonov; Alexey V Zakharov
Journal:  J Chem Inf Model       Date:  2021-02-03       Impact factor: 4.956

4.  Filling data gap for nicotinic acid, nicotinate esters and nicotinamide for the determination of permitted daily exposure by a category approach.

Authors:  Mohammad Charehsaz; Gulcin Tugcu; Ahmet Aydin
Journal:  Toxicol Res       Date:  2020-11-05

5.  KnowTox: pipeline and case study for confident prediction of potential toxic effects of compounds in early phases of development.

Authors:  Andrea Morger; Miriam Mathea; Janosch H Achenbach; Antje Wolf; Roland Buesen; Klaus-Juergen Schleifer; Robert Landsiedel; Andrea Volkamer
Journal:  J Cheminform       Date:  2020-04-14       Impact factor: 5.514

6.  Studying and mitigating the effects of data drifts on ML model performance at the example of chemical toxicity data.

Authors:  Andrea Morger; Marina Garcia de Lomana; Ulf Norinder; Fredrik Svensson; Johannes Kirchmair; Miriam Mathea; Andrea Volkamer
Journal:  Sci Rep       Date:  2022-05-04       Impact factor: 4.996

7.  DenovoProfiling: A webserver for de novo generated molecule library profiling.

Authors:  Zhihong Liu; Jiewen Du; Ziying Lin; Ze Li; Bingdong Liu; Zongbin Cui; Jiansong Fang; Liwei Xie
Journal:  Comput Struct Biotechnol J       Date:  2022-08-02       Impact factor: 6.155

8.  ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities.

Authors:  Marina Garcia de Lomana; Andrea Morger; Ulf Norinder; Roland Buesen; Robert Landsiedel; Andrea Volkamer; Johannes Kirchmair; Miriam Mathea
Journal:  J Chem Inf Model       Date:  2021-06-21       Impact factor: 4.956

9.  Revealing cytotoxic substructures in molecules using deep learning.

Authors:  Henry E Webel; Talia B Kimber; Silke Radetzki; Martin Neuenschwander; Marc Nazaré; Andrea Volkamer
Journal:  J Comput Aided Mol Des       Date:  2020-04-16       Impact factor: 3.686

10.  Relationship between Hormonal Modulation and Gastroprotective Activity of Malvidin and Cyanidin Chloride: In Vivo and In Silico Approach.

Authors:  Melina Luzzi Zarricueta; Felipe Leonardo Fagundes; Quélita Cristina Pereira; Simone Queiroz Pantaleão; Raquel de Cássia Dos Santos
Journal:  Pharmaceutics       Date:  2022-03-04       Impact factor: 6.321

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