Literature DB >> 20187660

Homology modeling and docking evaluation of aminergic G protein-coupled receptors.

Fiona M McRobb1, Ben Capuano, Ian T Crosby, David K Chalmers, Elizabeth Yuriev.   

Abstract

We report the development of homology models of dopamine (D(2), D(3), and D(4)), serotonin (5-HT(1B), 5-HT(2A), 5-HT(2B), and 5-HT(2C)), histamine (H(1)), and muscarinic (M(1)) receptors, based on the high-resolution structure of the beta(2)-adrenergic receptor. The homology models were built and refined using Prime. We have addressed the required modeling of extracellular loop 2, which is often implicated in ligand binding. The orthosteric sites of the models were optimized using induced fit docking, to allow for side-chain flexibility, and the resulting receptor models have been evaluated using protein validation tools. Of the nine homology models developed, six models showed moderate to good enrichment in virtual screening experiments (5-HT(2A), 5-HT(1B), D(2), 5-HT(2C), D(3), and M(1)). The 5-HT(2A) receptor displayed the highest enrichment in virtual screening experiments with enrichment factors of 6.1, 6.9, and 5.9 at 2, 5, and 10%, respectively, of the screened database. However, three of the models require further refinement (5-HT(2B), D(4), and H(1)), due to difficulties in modeling some of the binding site residues as well as the extracellular loop 2. Our effort also aims to supplement the limited number of tested G protein-coupled receptor homology models based on the beta(2) crystal structure that are freely available to the research community.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20187660     DOI: 10.1021/ci900444q

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  25 in total

1.  Virtual screening using a conformationally flexible target protein: models for ligand binding to p38α MAPK.

Authors:  Natalie B Vinh; Jamie S Simpson; Peter J Scammells; David K Chalmers
Journal:  J Comput Aided Mol Des       Date:  2012-04-20       Impact factor: 3.686

2.  Towards predictive docking at aminergic G-protein coupled receptors.

Authors:  Jan Jakubík; Esam E El-Fakahany; Vladimír Doležal
Journal:  J Mol Model       Date:  2015-10-09       Impact factor: 1.810

3.  Insights into the influence of 5-HT2c aminoacidic variants with the inhibitory action of serotonin inverse agonists and antagonists.

Authors:  Roberta Galeazzi; Luca Massaccesi; Francesco Piva; Giovanni Principato; Emilioano Laudadio
Journal:  J Mol Model       Date:  2014-02-22       Impact factor: 1.810

4.  Structural determinants of the alpha2 adrenoceptor subtype selectivity.

Authors:  Liliana Ostopovici-Halip; Ramona Curpăn; Maria Mracec; Cristian G Bologa
Journal:  J Mol Graph Model       Date:  2011-05-06       Impact factor: 2.518

5.  Subtype selectivity of dopamine receptor ligands: insights from structure and ligand-based methods.

Authors:  Qi Wang; Robert H Mach; Robert R Luedtke; David E Reichert
Journal:  J Chem Inf Model       Date:  2010-10-11       Impact factor: 4.956

6.  Unlocking the binding and reaction mechanism of hydroxyurea substrates as biological nitric oxide donors.

Authors:  Sai Lakshmana Vankayala; Jacqueline C Hargis; H Lee Woodcock
Journal:  J Chem Inf Model       Date:  2012-05-09       Impact factor: 4.956

7.  Yeast biological networks unfold the interplay of antioxidants, genome and phenotype, and reveal a novel regulator of the oxidative stress response.

Authors:  Jose M Otero; Manos A Papadakis; D B R K Gupta Udatha; Jens Nielsen; Gianni Panagiotou
Journal:  PLoS One       Date:  2010-10-25       Impact factor: 3.240

8.  Accurate structure prediction of peptide-MHC complexes for identifying highly immunogenic antigens.

Authors:  Min-Sun Park; Sung Yong Park; Keith R Miller; Edward J Collins; Ha Youn Lee
Journal:  Mol Immunol       Date:  2013-05-18       Impact factor: 4.407

9.  Monte Carlo loop refinement and virtual screening of the thyroid-stimulating hormone receptor transmembrane domain.

Authors:  M Rejwan Ali; Rauf Latif; Terry F Davies; Mihaly Mezei
Journal:  J Biomol Struct Dyn       Date:  2014-07-11

10.  How does catalase release nitric oxide? A computational structure-activity relationship study.

Authors:  Sai Lakshmana Vankayala; Jacqueline C Hargis; H Lee Woodcock
Journal:  J Chem Inf Model       Date:  2013-10-28       Impact factor: 4.956

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.