Abstract
Computational approach was done in protein molecules of the Rose leaf curl virus and its betasatellite component isolated from Rose plants. Moreover in-depth study was done using in silico approach such as restriction map, GC profile and prediction of binding sites for ligand molecule analysis. Hence, an approach has been taken into consideration to unearth a treatment against geminiviruses, resulting in huge yield loss across the globe. This study provides a great deal of novel knowledge and will be employed for the selection of inhibitors in opposition to geminivirus proteins focusing on begomovirus and paves a way for developing antiviral agents in the near future.
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Acknowledgements
The authors are thankful to Science and Engineering Research Board – Department of Science and Technology, New Delhi, India, for the financial assistance (File No. YSS/2015/000265) and also to University Grant Commission, New Delhi for providing financial assistantship under Research Award for Teacher (F.30-1/2014/RA-2014-16-GE-RAJ-4696 (SA-II).
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Marwal, A., Mishra, M., Sekhsaria, C., Gaur, R.K. (2017). Computational Analysis and Predicting Ligand Binding Site in the Rose leaf curl virus and Its Betasatellite Proteins: A Step Forward for Antiviral Agent Designing. In: Saxena, S., Tiwari, A. (eds) Begomoviruses: Occurrence and Management in Asia and Africa. Springer, Singapore. https://doi.org/10.1007/978-981-10-5984-1_9
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