In silico target prediction for elucidating the mode of action of herbicides including prospective validation.

Chiddarwar, Rucha K; Rohrer, Sebastian G; Wolf, Antje; Tresch, Stefan; Wollenhaupt, Sabrina; Bender, Andreas

Chiddarwar, Rucha K; Rohrer, Sebastian G; Wolf, Antje; Tresch, Stefan; Wollenhaupt, Sabrina; Bender, Andreas.

Affiliation

Chiddarwar RK; Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom.
Rohrer SG; Global Research Crop Protection, BASF SE, Speyerer Strasse 2, 67177 Limburgerhof, Germany.
Wolf A; Computational Chemistry and Biology, BASF SE, Carl-Bosch-Strasse 38, 67056 Ludwigshafen, Germany.
Tresch S; Global Research Crop Protection, BASF SE, Speyerer Strasse 2, 67177 Limburgerhof, Germany.
Wollenhaupt S; Computational Chemistry and Biology, BASF SE, Carl-Bosch-Strasse 38, 67056 Ludwigshafen, Germany.
Bender A; Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom. Electronic address: ab454@cam.ac.uk.

J Mol Graph Model ; 71: 70-79, 2017 01.

Article in En | MEDLINE | ID: mdl-27846423

Subject(s)

Agrochemicals/chemistry; Drug Discovery; Herbicides/chemistry; Quantitative Structure-Activity Relationship; Computer Simulation; High-Throughput Screening Assays; Prospective Studies

Key words

Herbicide targets; In silico target prediction; MOLPRINT 2D; Mode of action

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Agrochemicals / Quantitative Structure-Activity Relationship / Drug Discovery / Herbicides Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Mol Graph Model Journal subject: BIOLOGIA MOLECULAR Year: 2017 Type: Article Affiliation country: United kingdom

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