Recent Studies of Artificial Intelligence on <i>In Silico</i> Drug Absorption-Reference-Cited by-同舟云学术

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Recent Studies of Artificial Intelligence on In Silico Drug Absorption

Published:2023-10-11 Issue:20 Volume:63 Page:6198-6211
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Tran Thi Tuyet Van¹²³,Tayara Hilal⁴^ORCID,Chong Kil To⁵

Affiliation:

1. Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, Republic of Korea

2. Faculty of Information Technology, An Giang University, Long Xuyen 880000, Vietnam

3. Vietnam National University, Ho Chi Minh City, Ho Chi Minh 700000, Vietnam

4. School of International Engineering and Science, Jeonbuk National University, Jeonju 54896, Republic of Korea

5. Advances Electronics and Information Research Center, Jeonbuk National University, Jeonju 54896, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Subject

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

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00960

Reference136 articles.

1. “Omics”-Informed Drug and Biomarker Discovery: Opportunities, Challenges and Future Perspectives

2. Natural Product Chemistry and Computer Aided Drug Design an Approach to Drug Discovery: A Review Article

3. How Much Does It Cost to Research and Develop a New Drug? A Systematic Review and Assessment

4. 2021 FDA approvals

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1. The future of medicine: an outline attempt using state-of-the-art business and scientific trends;Frontiers in Medicine;2024-08-07

2. AMPred-CNN: Ames mutagenicity prediction model based on convolutional neural networks;Computers in Biology and Medicine;2024-06

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