Artificial intelligence chemistry

Keyphrases

Publications

volume 2, number 1, 2024

Yuanzhe Zhou, Shi-Jie Chen
Advances in machine-learning approaches to RNA-targeted drug design. Artificial intelligence chemistry 2 (1) (2024)
Yuanzhe Zhou, Shi-Jie Chen
Advances in machine-learning approaches to RNA-targeted drug design. Artificial intelligence chemistry 2 (1) (2024)
Yuanzhe Zhou, Shi-Jie Chen
Advances in machine-learning approaches to RNA-targeted drug design. Artificial intelligence chemistry 2 (1) (2024)

volume 2, number 1, 2023

Vanessa Y Zhang, Shayna L O'Connor, William J Welsh, Morgan H James
Machine learning models to predict ligand binding affinity for the orexin 1 receptor. Artificial intelligence chemistry 2 (1) (2023)
Vanessa Y Zhang, Shayna L O'Connor, William J Welsh, Morgan H James
Machine learning models to predict ligand binding affinity for the orexin 1 receptor. Artificial intelligence chemistry 2 (1) (2023)
Vanessa Y Zhang, Shayna L O'Connor, William J Welsh, Morgan H James
Machine learning models to predict ligand binding affinity for the orexin 1 receptor. Artificial intelligence chemistry 2 (1) (2023)
Vanessa Y Zhang, Shayna L O'Connor, William J Welsh, Morgan H James
Machine learning models to predict ligand binding affinity for the orexin 1 receptor. Artificial intelligence chemistry 2 (1) (2023)

volume 1, number 1, 2023

Ya Ju Fan, Jonathan E Allen, Kevin S McLoughlin, Da Shi, Brian J Bennion, Xiaohua Zhang, Felice C Lightstone
Evaluating point-prediction uncertainties in neural networks for protein-ligand binding prediction. Artificial intelligence chemistry 1 (1) (2023)

volume 1, number 2, 2023

Beihong Ji, Yuhui Wu, Elena N Thomas, Jocelyn N Edwards, Xibing He, Junmei Wang
Predicting anti-SARS-CoV-2 activities of chemical compounds using machine learning models. Artificial intelligence chemistry 1 (2) (2023)