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Updated: May 26, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Structure prediction and binding sites analysis of curcin protein of Jatropha curcas using computational approaches
Mugdha Srivastava1, Shishir K Gupta, P C Abhilash
1Eco-Auditing Laboratory, National Botanical Research Institute, CSIR, Lucknow, 226001 Uttar Pradesh, India. mugdha.srivastava@gmail.com
Abstract:
Ribosome inactivating proteins (RIPs) are defense proteins in a number of higher-plant species that are directly targeted toward herbivores. Jatropha curcas is one of the biodiesel plants having RIPs. The Jatropha seed meal, after extraction of oil, is rich in curcin, a highly toxic RIP similar to ricin, which makes it unsuitable for animal feed. Although the toxicity of curcin is well documented in the literature, the detailed toxic properties and the 3D structure of curcin has not been determined by X-ray crystallography, NMR spectroscopy or any in silico techniques to date. In this pursuit, the structure of curcin was modeled by a composite approach of 3D structure prediction using threading and ab initio modeling. Assessment of model quality was assessed by methods which include Ramachandran plot analysis and Qmean score estimation. Further, we applied the protein-ligand docking approach to identify the r-RNA binding residue of curcin. The present work provides the first structural insight into the binding mode of r-RNA adenine to the curcin protein and forms the basis for designing future inhibitors of curcin. Cloning of a future peptide inhibitor within J. curcas can produce non-toxic varieties of J. curcas, which would make the seed-cake suitable as animal feed without curcin detoxification.
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