Literature DB >> 27546045

How to Choose the Suitable Template for Homology Modelling of GPCRs: 5-HT7 Receptor as a Test Case.

Nir Shahaf1, Matteo Pappalardo2,3, Livia Basile4, Salvatore Guccione4, Anwar Rayan5,6.   

Abstract

G protein-coupled receptors (GPCRs) are a super-family of membrane proteins that attract great pharmaceutical interest due to their involvement in almost every physiological activity, including extracellular stimuli, neurotransmission, and hormone regulation. Currently, structural information on many GPCRs is mainly obtained by the techniques of computer modelling in general and by homology modelling in particular. Based on a quantitative analysis of eighteen antagonist-bound, resolved structures of rhodopsin family "A" receptors - also used as templates to build 153 homology models - it was concluded that a higher sequence identity between two receptors does not guarantee a lower RMSD between their structures, especially when their pair-wise sequence identity (within trans-membrane domain and/or in binding pocket) lies between 25 % and 40 %. This study suggests that we should consider all template receptors having a sequence identity ≤50 % with the query receptor. In fact, most of the GPCRs, compared to the currently available resolved structures of GPCRs, fall within this range and lack a correlation between structure and sequence. When testing suitability for structure-based drug design, it was found that choosing as a template the most similar resolved protein, based on sequence resemblance only, led to unsound results in many cases. Molecular docking analyses were carried out, and enrichment factors as well as attrition rates were utilized as criteria for assessing suitability for structure-based drug design.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  5HT7 receptor; G-Protein Coupled Receptors; Homology Modelling; structure-based drug design

Mesh:

Substances:

Year:  2016        PMID: 27546045     DOI: 10.1002/minf.201501029

Source DB:  PubMed          Journal:  Mol Inform        ISSN: 1868-1743            Impact factor:   3.353


  6 in total

1.  Nature is the best source of anti-inflammatory drugs: indexing natural products for their anti-inflammatory bioactivity.

Authors:  Miran Aswad; Mahmoud Rayan; Saleh Abu-Lafi; Mizied Falah; Jamal Raiyn; Ziyad Abdallah; Anwar Rayan
Journal:  Inflamm Res       Date:  2017-09-27       Impact factor: 4.575

2.  Nature is the best source of anticancer drugs: Indexing natural products for their anticancer bioactivity.

Authors:  Anwar Rayan; Jamal Raiyn; Mizied Falah
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

3.  Capturing antibacterial natural products with in silico techniques.

Authors:  Mahmud Masalha; Mahmoud Rayan; Azmi Adawi; Ziyad Abdallah; Anwar Rayan
Journal:  Mol Med Rep       Date:  2018-05-16       Impact factor: 2.952

4.  Indexing Natural Products for Their Potential Anti-Diabetic Activity: Filtering and Mapping Discriminative Physicochemical Properties.

Authors:  Mouhammad Zeidan; Mahmoud Rayan; Nuha Zeidan; Mizied Falah; Anwar Rayan
Journal:  Molecules       Date:  2017-09-17       Impact factor: 4.411

5.  Sesamin from Cuscuta palaestina natural plant extracts: Directions for new prospective applications.

Authors:  Saleh Abu-Lafi; Sadam Makhamra; Ibrahim Rayan; Waseim Barriah; Ahmed Nasser; Basheer Abu Farkh; Anwar Rayan
Journal:  PLoS One       Date:  2018-04-10       Impact factor: 3.240

6.  A Comparative Study of Modern Homology Modeling Algorithms for Rhodopsin Structure Prediction.

Authors:  Dmitrii M Nikolaev; Andrey A Shtyrov; Maxim S Panov; Adeel Jamal; Oleg B Chakchir; Vladimir A Kochemirovsky; Massimo Olivucci; Mikhail N Ryazantsev
Journal:  ACS Omega       Date:  2018-07-09
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.