Screening of Photosynthetic Pigments for Herbicidal Activity with a New Computational Molecular Approach

Author(s): R. Navanietha Krishnaraj, Saravanan Chandran, Parimal Pal, Sheela Berchmans

Journal Name: Combinatorial Chemistry & High Throughput Screening
Accelerated Technologies for Biotechnology, Bioassays, Medicinal Chemistry and Natural Products Research

Volume 16 , Issue 10 , 2013

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There is an immense interest among the researchers to identify new herbicides which are effective against the herbs without affecting the environment. In this work, photosynthetic pigments are used as the ligands to predict their herbicidal activity. The enzyme 5-enolpyruvylshikimate-3-phosphate (EPSP) synthase is a good target for the herbicides. Homology modeling of the target enzyme is done using Modeler 9.11 and the model is validated. Docking studies were performed with AutoDock Vina algorithm to predict the binding of the natural pigments such as β-carotene, chlorophyll a, chlorophyll b, phycoerythrin and phycocyanin to the target. β-carotene, phycoerythrin and phycocyanin have higher binding energies indicating the herbicidal activity of the pigments. This work reports a procedure to screen herbicides with computational molecular approach. These pigments will serve as potential bioherbicides in the future.

Keywords: Chlorophyll, herbicides, phycocyanin, phycoerythrin.

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Article Details

Year: 2013
Page: [777 - 781]
Pages: 5
DOI: 10.2174/13862073113169990047
Price: $65

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