Literature DB >> 11749325

Quantitative structure-activity relationships of mutagenic and carcinogenic aromatic amines.

R Benigni1, A Giuliani, R Franke, A Gruska.   

Abstract

Entities:  

Year:  2000        PMID： 11749325     DOI： 10.1021/cr9901079

Source DB:  PubMed          Journal:  Chem Rev        ISSN： 0009-2665            Impact factor:   60.622


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  10 in total

1.  Improving prediction of carcinogenicity to reduce, refine, and replace the use of experimental animals.

Authors:  Todd Bourcier; Tim McGovern; Lidiya Stavitskaya; Naomi Kruhlak; David Jacobson-Kram
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-03       Impact factor: 1.232

2.  Development of quantitative structure-binding affinity relationship models based on novel geometrical chemical descriptors of the protein-ligand interfaces.

Authors:  Shuxing Zhang; Alexander Golbraikh; Alexander Tropsha
Journal:  J Med Chem       Date:  2006-05-04       Impact factor: 7.446

3.  Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory uses.

Authors:  Natalja Fjodorova; Marjan Vračko; Marjan Tušar; Aneta Jezierska; Marjana Novič; Ralph Kühne; Gerrit Schüürmann
Journal:  Mol Divers       Date:  2009-08-15       Impact factor: 2.943

4.  Prediction of carcinogenicity for diverse chemicals based on substructure grouping and SVM modeling.

Authors:  Kazutoshi Tanabe; Bono Lučić; Dragan Amić; Takio Kurita; Mikio Kaihara; Natsuo Onodera; Takahiro Suzuki
Journal:  Mol Divers       Date:  2010-02-26       Impact factor: 2.943

5.  Profiles of primary aromatic amines, nicotine, and cotinine in indoor dust and associated human exposure in China.

Authors:  Sridhar Chinthakindi; Qingqing Zhu; Chunyang Liao; Kurunthachalam Kannan
Journal:  Sci Total Environ       Date:  2021-11-03       Impact factor: 7.963

6.  Artificial intelligence uncovers carcinogenic human metabolites.

Authors:  Aayushi Mittal; Sanjay Kumar Mohanty; Vishakha Gautam; Sakshi Arora; Sheetanshu Saproo; Ria Gupta; Roshan Sivakumar; Prakriti Garg; Anmol Aggarwal; Padmasini Raghavachary; Nilesh Kumar Dixit; Vijay Pal Singh; Anurag Mehta; Juhi Tayal; Srivatsava Naidu; Debarka Sengupta; Gaurav Ahuja
Journal:  Nat Chem Biol       Date:  2022-08-11       Impact factor: 16.174

Review 7.  In silico prediction of drug toxicity.

Authors:  John C Dearden
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

8.  Antitumor agents 252. Application of validated QSAR models to database mining: discovery of novel tylophorine derivatives as potential anticancer agents.

Authors:  Shuxing Zhang; Linyi Wei; Ken Bastow; Weifan Zheng; Arnold Brossi; Kuo-Hsiung Lee; Alexander Tropsha
Journal:  J Comput Aided Mol Des       Date:  2007-03-06       Impact factor: 3.686

9.  CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods.

Authors:  Li Zhang; Haixin Ai; Wen Chen; Zimo Yin; Huan Hu; Junfeng Zhu; Jian Zhao; Qi Zhao; Hongsheng Liu
Journal:  Sci Rep       Date:  2017-05-18       Impact factor: 4.379

10.  Binder-Free Modification of a Glassy Carbon Electrode by Using Porous Carbon for Voltammetric Determination of Nitro Isomers.

Authors:  Shaktivel Manavalan; Pitchaimani Veerakumar; Shen-Ming Chen; Keerthi Murugan; King-Chuen Lin
Journal:  ACS Omega       Date:  2019-05-23
  10 in total

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