This interesting preprint print paper looks at how artificial intelligence is changing drug discovery research and the ramifications of the changes. This work is also significant because the authors frankly share their experience of using ChatGPT to initially draft the paper.
Note from the human-authors: This article was created to test the ability of ChatGPT, a chatbot based on the GPT-3.5 language model, to assist human authors in writing review articles. The text generated by the AI following our instructions (see Supporting Information) was used as a starting point, and its ability to automatically generate content was evaluated. After conducting a thorough review, human authors practically rewrote the manuscript, striving to maintain a balance between the original proposal and scientific criteria. The advantages and limitations of using AI for this purpose are discussed in the last section.
Bittner MI., Farajnia S. (2022) AI in drug discovery: Applications, opportunities, and challenges. Patterns (N Y). ARXIV 10;3(6):100529. doi: 10.1016/j.patter.2022.100529. PMID: 35755871; PMCID: PMC9214324.