Multiple machine learning methods aided virtual screening of <scp> Na <sub>V</sub> 1 </scp> .5 inhibitors-Reference-Cited by-同舟云学术

Multiple machine learning methods aided virtual screening of Na _V 1 .5 inhibitors

Published:2022-12-27 Issue:2 Volume:27 Page:266-276
ISSN:1582-1838
Container-title:Journal of Cellular and Molecular Medicine
language:en
Short-container-title:J Cellular Molecular Medi

Author:

Kong Weikaixin¹²³^ORCID,Huang Weiran¹,Peng Chao¹,Zhang Bowen⁴,Duan Guifang¹,Ma Weining⁵,Huang Zhuo¹⁶

Affiliation:

1. Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences Peking University Health Science Center Beijing China

2. Institute for Molecular Medicine Finland (FIMM) HiLIFE, University of Helsinki Helsinki Finland

3. Institute Sanqu Technology (Hangzhou) Co., Ltd. Hangzhou China

4. ComMedX (Computational Medicine Beijing Co., Ltd.) Beijing China

5. Department of Neurology Shengjing Hospital affiliated to China Medical University Shenyang China

6. State Key Laboratory of Natural and Biomimetic Drugs, Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences Peking University Health Science Center Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,Molecular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcmm.17652

Reference53 articles.

1. Regulation of the Voltage-Gated Cardiac Sodium Channel Nav1.5 by Interacting Proteins

2. SCN5A Mutation Associated With Dilated Cardiomyopathy, Conduction Disorder, and Arrhythmia

3. Sudden cardiac arrest associated with use of a non-cardiac drug that reduces cardiac excitability: evidence from bench, bedside, and community

4. Modeling bioconcentration factor (BCF) using mechanistically interpretable descriptors computed from open source tool “PaDEL-Descriptor”

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