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ACS Omega
(Aug 2023)
Machine Learning-Based Approach to Developing Potent EGFR Inhibitors for Breast CancerDesign, Synthesis, and In Vitro Evaluation
Hossam Nada,
Anam Rana Gul,
Ahmed Elkamhawy,
Sungdo Kim,
Minkyoung Kim,
Yongseok Choi,
Tae Jung Park,
Kyeong Lee
Affiliations
Hossam Nada
BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Republic of Korea
Anam Rana Gul
Department of Chemistry, Chung-Ang University, Seoul, South Korea
Ahmed Elkamhawy
BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Republic of Korea
Sungdo Kim
BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Republic of Korea
Minkyoung Kim
BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Republic of Korea
Yongseok Choi
College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea
Tae Jung Park
Department of Chemistry, Chung-Ang University, Seoul, South Korea
Kyeong Lee
BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Republic of Korea
DOI
https://doi.org/10.1021/acsomega.3c02799
Journal volume & issue
Vol. 8, no. 35
pp. 31784 – 31800
Abstract
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No abstracts available.
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