A Deep Learning Approach to Uncover Voltage-Gated Ion Channels’ Intermediate States-Reference-Cited by-同舟云学术

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A Deep Learning Approach to Uncover Voltage-Gated Ion Channels’ Intermediate States

Published:2024-08-30 Issue:36 Volume:128 Page:8724-8736
ISSN:1520-6106
Container-title:The Journal of Physical Chemistry B
language:en
Short-container-title:J. Phys. Chem. B

Author:

Kacher Julia¹^ORCID,Sokolova Olga S.²³,Tarek Mounir¹

Affiliation:

1. Université de Lorraine, CNRS, LPCT, F-54000 Nancy, France

2. Faculty of Biology, Lomonosov Moscow State University, 1-12 Leninskie Gory, 119234 Moscow, Russia

3. Shenzhen MSU-BIT University, 1 International University Park Road, Dayun New Town, Longgang District, Shenzhen 518172, China

Funder

Campus France

Universit? de Lorraine

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcb.4c03182

Reference95 articles.

1. Targeting Ion Channels for Cancer Treatment: Current Progress and Future Challenges

2. Sodium channelopathies of skeletal muscle and brain

3. Structures Illuminate Cardiac Ion Channel Functions in Health and in Long QT Syndrome

4. Voltage-Gated Ion Channels and Hereditary Disease

5. Crystal Structure of a Mammalian Voltage-Dependent Shaker Family K + Channel

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