Literature DB >> 21360185

Prediction of a new surface binding pocket and evaluation of inhibitors against huntingtin interacting protein 14: an insight using docking studies.

Shipra Gupta1, Gauri Misra, Mohan C Pant, Prahlad Kishor Seth.   

Abstract

Protein-protein interactions play an important role in regulating the expression of huntingtin protein (htt). Expansion of polyglutamine tracts in htt results in neurodegenerative Huntington disease. Huntingtin interacting protein (HIP14) is an important interacting partner of htt and the altered interactions have been proposed to play an important role in disease progression. In the present study, an attempt has been made to explore the potential of several known Huntington inhibitors to inhibit HIP14. The docking studies have resulted in the identification of a novel binding site for these inhibitors distinct from the previously known ankyrin repeat domain. The results have been validated using geometry based docking transformations against the other binding pocket. The specificity of binding has been determined with high values of both accuracy and precision. Nine potential inhibitors obtained after screening belong to three distinct classes of compounds viz, carbohydrates (deoxy-glucose), alcohols (including phenolic scaffold) and tetracycline. The compounds form stable complex with protein exhibiting optimal intermolecular and Gibbs free energy. The hydrogen bonding and hydrophobic interactions predominantly contribute to the stability of these complexes. The present study identifies metoprolol, minocyclines and 18 F fluorodeoxyglucose as the best inhibitors that bind specifically to the new site. Therefore, these compounds can further be exploited for their potential to serve in the diagnosis and treatment of Huntington disease. The quantitative predictions provide a scope for experimental testing in future.

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Year:  2011        PMID: 21360185     DOI: 10.1007/s00894-011-1005-8

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


  22 in total

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Journal:  Nat Neurosci       Date:  2006-05-14       Impact factor: 24.884

4.  High-throughput screening identifies two classes of antibiotics as radioprotectors: tetracyclines and fluoroquinolones.

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5.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

Authors:  Garrett M Morris; Ruth Huey; William Lindstrom; Michel F Sanner; Richard K Belew; David S Goodsell; Arthur J Olson
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6.  HIP14, a novel ankyrin domain-containing protein, links huntingtin to intracellular trafficking and endocytosis.

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8.  Reduced cerebral glucose metabolism in asymptomatic subjects at risk for Huntington's disease.

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Journal:  BMC Bioinformatics       Date:  2005-04-27       Impact factor: 3.169

10.  Drug discovery using chemical systems biology: repositioning the safe medicine Comtan to treat multi-drug and extensively drug resistant tuberculosis.

Authors:  Sarah L Kinnings; Nina Liu; Nancy Buchmeier; Peter J Tonge; Lei Xie; Philip E Bourne
Journal:  PLoS Comput Biol       Date:  2009-07-03       Impact factor: 4.475

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  4 in total

1.  Interaction between shrimp and white spot syndrome virus through PmRab7-VP28 complex: an insight using simulation and docking studies.

Authors:  Arunima Kumar Verma; Shipra Gupta; Sharad Verma; Abha Mishra; N S Nagpure; Shivesh Pratap Singh; Ajey Kumar Pathak; Uttam Kumar Sarkar; Shri Prakash Singh; Mahender Singh; Prahlad Kishore Seth
Journal:  J Mol Model       Date:  2012-11-23       Impact factor: 1.810

Review 2.  A generalizable pre-clinical research approach for orphan disease therapy.

Authors:  Chandree L Beaulieu; Mark E Samuels; Sean Ekins; Christopher R McMaster; Aled M Edwards; Adrian R Krainer; Geoffrey G Hicks; Brendan J Frey; Kym M Boycott; Alex E Mackenzie
Journal:  Orphanet J Rare Dis       Date:  2012-06-15       Impact factor: 4.123

3.  Xyloketal-derived small molecules show protective effect by decreasing mutant Huntingtin protein aggregates in Caenorhabditis elegans model of Huntington's disease.

Authors:  Yixuan Zeng; Wenyuan Guo; Guangqing Xu; Qinmei Wang; Luyang Feng; Simei Long; Fengyin Liang; Yi Huang; Xilin Lu; Shichang Li; Jiebin Zhou; Jean-Marc Burgunder; Jiyan Pang; Zhong Pei
Journal:  Drug Des Devel Ther       Date:  2016-04-13       Impact factor: 4.162

4.  Identification of new inhibitors against human Great wall kinase using in silico approaches.

Authors:  Ummi Ammarah; Amit Kumar; Rajesh Pal; Naresh C Bal; Gauri Misra
Journal:  Sci Rep       Date:  2018-03-20       Impact factor: 4.379

  4 in total

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