Machine Learning-Based Modeling of Olfactory Receptors in Their Inactive State: Human OR51E2 as a Case Study

Author:

Alfonso-Prieto Mercedes1ORCID,Capelli Riccardo2ORCID

Affiliation:

1. Computational Biomedicine, Institute for Advanced Simulation IAS-5/Institute for Neuroscience and Medicine INM-9, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, D-52428 Jülich, Germany

2. Dipartimento di Bioscienze, Università degli Studi di Milano, Via Celoria 26, I-20133 Milan, Italy

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Calcium-Driven In Silico Inactivation of a Human Olfactory Receptor;Journal of Chemical Information and Modeling;2024-03-25

2. The structure and function of olfactory receptors;Trends in Pharmacological Sciences;2024-03

3. Calcium-driven In Silico Inactivation of a Human Olfactory Receptor;2024-02-02

4. AlphaFold2 in Molecular Discovery;Journal of Chemical Information and Modeling;2023-10-09

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