Literature DB >> 22146985

Structure prediction and binding sites analysis of curcin protein of Jatropha curcas using computational approaches.

Mugdha Srivastava1, Shishir K Gupta, P C Abhilash, Nandita Singh.   

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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Year:  2011        PMID: 22146985     DOI: 10.1007/s00894-011-1320-0

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  59 in total

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Journal:  Proteins       Date:  2007

6.  Effects of Jatropha curcas on calves.

Authors:  O M Ahmed; S E Adam
Journal:  Vet Pathol       Date:  1979-07       Impact factor: 2.221

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Authors:  M MOURGUE; J DELPHAUT; R BARET; R KASSAB
Journal:  Bull Soc Chim Biol (Paris)       Date:  1961

8.  I-TASSER server for protein 3D structure prediction.

Authors:  Yang Zhang
Journal:  BMC Bioinformatics       Date:  2008-01-23       Impact factor: 3.169

9.  QMEANclust: estimation of protein model quality by combining a composite scoring function with structural density information.

Authors:  Pascal Benkert; Torsten Schwede; Silvio Ce Tosatto
Journal:  BMC Struct Biol       Date:  2009-05-20

10.  Fragment-based identification of determinants of conformational and spectroscopic change at the ricin active site.

Authors:  John H Carra; Colleen A McHugh; Sheila Mulligan; Leeann M Machiesky; Alexei S Soares; Charles B Millard
Journal:  BMC Struct Biol       Date:  2007-11-06
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  9 in total

1.  Enhanced hybrid search algorithm for protein structure prediction using the 3D-HP lattice model.

Authors:  Changjun Zhou; Caixia Hou; Qiang Zhang; Xiaopeng Wei
Journal:  J Mol Model       Date:  2013-07-04       Impact factor: 1.810

2.  Structural Distinctive 26SK, a Ribosome-Inactivating Protein from Jatropha curcas and Its Biological Activities.

Authors:  Danulada Pathanraj; Kiattawee Choowongkomon; Sittiruk Roytrakul; Chotika Yokthongwattana
Journal:  Appl Biochem Biotechnol       Date:  2021-10-20       Impact factor: 2.926

3.  The functional impact of the C/N-terminal extensions of the mouse retinal IMPDH1 isoforms: a kinetic evaluation.

Authors:  Behnaz Andashti; Razieh Yazdanparast; Ebrahim Barzegari; Hamid Galehdari
Journal:  Mol Cell Biochem       Date:  2019-12-14       Impact factor: 3.396

4.  Understanding the mechanism of atovaquone drug resistance in Plasmodium falciparum cytochrome b mutation Y268S using computational methods.

Authors:  Bashir A Akhoon; Krishna P Singh; Megha Varshney; Shishir K Gupta; Yogeshwar Shukla; Shailendra K Gupta
Journal:  PLoS One       Date:  2014-10-15       Impact factor: 3.240

5.  Molecular Characterization and Expression of Four Aquaporin Genes in Impatiens walleriana During Drought Stress and Recovery.

Authors:  Marija J Đurić; Angelina R Subotić; Ljiljana T Prokić; Milana M Trifunović-Momčilov; Aleksandar D Cingel; Milan B Dragićević; Ana D Simonović; Snežana M Milošević
Journal:  Plants (Basel)       Date:  2021-01-14

6.  Prediction and validation of host-pathogen interactions by a versatile inference approach using Aspergillus fumigatus as a case study.

Authors:  Johannes Balkenhol; Elena Bencurova; Shishir K Gupta; Hella Schmidt; Thorsten Heinekamp; Axel Brakhage; Aparna Pottikkadavath; Thomas Dandekar
Journal:  Comput Struct Biotechnol J       Date:  2022-08-05       Impact factor: 6.155

7.  Structural modeling and in silico analysis of non-synonymous single nucleotide polymorphisms of human 3β-hydroxysteroid dehydrogenase type 2.

Authors:  Achintya Mohan Goswami
Journal:  Meta Gene       Date:  2015-08-08

8.  Computational Analysis of High Risk Missense Variant in Human UTY Gene: A Candidate Gene of AZFa Sub-region.

Authors:  Mili Nailwal; Jenabhai Bhathibhai Chauhan
Journal:  J Reprod Infertil       Date:  2017 Jul-Sep

9.  Virtual screening for potential inhibitors of β(1,3)-D-glucan synthase as drug candidates against fungal cell wall.

Authors:  Zinat Farhadi; Tayebeh Farhadi; Seyed MohammadReza Hashemian
Journal:  J Drug Assess       Date:  2020-03-11
  9 in total

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