ChatGPT in Drug Discovery: A Case Study on Anticocaine Addiction Drug Development with Chatbots

Abstract

The birth of ChatGPT, a cutting-edge language model-based chatbot developed by OpenAI, ushered in a new era in AI. However, due to potential pitfalls, its role in rigorous scientific research is not clear yet. This paper vividly showcases its innovative application within the field of drug discovery. Focused specifically on developing anticocaine addiction drugs, the study employs GPT-4 as a virtual guide, offering strategic and methodological insights to researchers working on generative models for drug candidates. The primary objective is to generate optimal drug-like molecules with desired properties. By leveraging the capabilities of ChatGPT, the study introduces a novel approach to the drug discovery process. This symbiotic partnership between AI and researchers transforms how drug development is approached. Chatbots become facilitators, steering researchers toward innovative methodologies and productive paths for creating effective drug candidates. This research sheds light on the collaborative synergy between human expertise and AI assistance, wherein ChatGPT's cognitive abilities enhance the design and development of pharmaceutical solutions. This paper not only explores the integration of advanced AI in drug discovery but also reimagines the landscape by advocating for AI-powered chatbots as trailblazers in revolutionizing therapeutic innovation.

ChatGPT in the Material Design: Selected Case Studies to Assess the Potential of ChatGPT

“…Chatbots function as facilitators, guiding researchers toward innovative approaches and productive pathways to develop successful drug candidates. Additionally, the study illuminates the collaborative synergy between human expertise and AI support, demonstrating how ChatGPT’s cognitive abilities enhance the design and advancement of pharmaceutical solutions . ChatGPT exhibits lots of innovative applications in material science such as Materials discovery: ChatGPT can aid in the design of new materials with desired properties.…”

“…Additionally, the study illuminates the collaborative synergy between human expertise and AI support, demonstrating how ChatGPT's cognitive abilities enhance the design and advancement of pharmaceutical solutions. 46 ChatGPT exhibits lots of innovative applications in material science such as…”

Generative artificial intelligence performs rudimentary structural biology modeling

“…More recently, generative AI language models, particularly Chat Generative Pre-trained Transformer (ChatGPT) [19][20][21], have garnered substantial interest with applications including performance of autonomous research [22], drug discovery [23][24][25], bioinformatic analysis [26,27], the potential to aid in clinical diagnosis [28,29], among others [30][31][32]. Unlike AlphaFold2, RoseTTAFold, and protein language models, ChatGPT is trained on natural language datasets and its neural network architecture is tailored towards understanding and generating natural language text rather than structural modelling.…”

Assessment of Students Use of Generative Artificial Intelligence: Prompting Strategies and Prompt Engineering in Chemistry Education

“…The terms AI and ChatGPT have grown more and more synonymous over the past year. There are various applications of AI bots in journalism and media education, 1 scientific applications like peer reviews, 2 drug discovery, 3 material design, 4 or even scientific discovery itself. 5 In education, initial research on using generative AI mainly revolved around strengths and weaknesses 6 and opportunities and challenges.…”

“…The terms AI and ChatGPT have grown more and more synonymous over the past year. There are various applications of AI bots in journalism and media education, scientific applications like peer reviews, drug discovery, material design, or even scientific discovery itself . In education, initial research on using generative AI mainly revolved around strengths and weaknesses and opportunities and challenges. , Scholars extensively tested what potential ChatGPT has in the educational context by evaluating answers given by the generative AI − and proposed a range of applications in several fields of education. − This same development was seen in chemistry education, where scientists evaluated academic answers given by AI, describing mixed performances by ChatGPT in terms of application of knowledge. , They compared AI-generated answers to student answers and found that the AI was sound in some areas but made mathematical mistakes that students would not make .…”