Combined docking and machine learning identify key molecular determinants of ligand pharmacological activity on β2 adrenoceptor-Reference-Cited by-同舟云学术

Combined docking and machine learning identify key molecular determinants of ligand pharmacological activity on β2 adrenoceptor

Published:2022-08-26 Issue:5 Volume:10 Page:
ISSN:2052-1707
Container-title:Pharmacology Research & Perspectives
language:en
Short-container-title:Pharmacology Res & Perspec

Author:

Jiménez‐Rosés Mireia¹²^ORCID,Morgan Bradley Angus¹³⁴⁵,Jimenez Sigstad Maria¹²,Tran Thuy Duong Zoe¹⁶,Srivastava Rohini¹⁶,Bunsuz Asuman¹²,Borrega‐Román Leire¹²⁷⁸,Hompluem Pattarin¹²,Cullum Sean A.¹²⁵,Harwood Clare R.¹²⁵,Koers Eline J.¹²^ORCID,Sykes David A.¹²^ORCID,Styles Iain B.¹³⁴^ORCID,Veprintsev Dmitry B.¹²^ORCID

Affiliation:

1. Centre of Membrane Proteins and Receptors (COMPARE) University of Birmingham and University of Nottingham Midlands UK

2. Division of Physiology, Pharmacology & Neuroscience School of Life Sciences, University of Nottingham Nottingham UK

3. School of Computer Science, University of Birmingham Birmingham UK

4. The Alan Turing Institute London UK

5. MRC IMPACT Doctoral Training Programme Universities of Birmingham, Leicester and Nottingham Midlands UK

6. MSc Programme in Drug Discovery & Pharmaceutical Sciences University of Nottingham Nottingham UK

7. Department of Pharmacology University of the Basque Country UPV/EHU Vitoria‐Gasteiz Spain

8. Bioaraba, Neurofarmacología Celular y Molecular Vitoria‐Gasteiz Spain

Publisher

Wiley

Subject

General Pharmacology, Toxicology and Pharmaceutics,Neurology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/prp2.994

Reference48 articles.

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