Current Artificial Intelligence Approaches in Biomedical Information Processing

Dear Colleagues, 

Artificial Intelligence (AI) has demonstrated its capability in almost all science and engineering fields. Many researchers endeavour to explore AI methods and approaches in drug discovery, which is particularly fascinating. Drug discovery is essentially a process of identifying new medicines. Artificial neural network methods have exhibited their superior potential in drug repurposing, drug molecule re/structuring and drug molecular mechanics, all of which are topics of drug discovery.

This thematic issue aims to cover the recent development in drug discovery with a special focus on using artificial intelligence in service of the analysis and interpretation of the molecular structure of drugs, protein-ligand interaction, drug target affinity and relevant open issues. The objective is to provide a comprehensive and up-to-date compilation of research and experimental works in the field. Studies of any stages, in-silicon, in-vitro and in-viva, are welcomed. To close the loop, we would like to invite contributions of medical imaging which possibly relate to drug discovery, treatment results and so on. Please kindly note that since IJMS is a journal of molecular science, thus pure clinical studies will not suitable for our journal.

New methods must be compared to existing state-of-the-art methods, using real biological data. The inclusion of experimental data is very much encouraged.

Dr. Xiangxiang Zeng
Dr. Tao Song
Guest Editors

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