Developing an AI Chatbot for Retrieving Information from Biological Databases

The rapid expansion of biological data has posed increasing challenges for researchers in accessing and navigating relevant information efficiently. Biological databases serve as comprehensive collections of structured and organized biological information, encompassing various disciplines such as genomics, proteomics, metabolomics, and other omics areas, alongside data on biological pathways, interactions, structures, and functions. Leveraging artificial intelligence techniques, particularly natural language processing (NLP) and machine learning, the chatbot aims to streamline the process of querying biological databases. This project focuses on developing the chatbot, encompassing implementation details, design considerations, data preprocessing techniques, and algorithmic approaches. As a use case, the database DisProt will be utilized to test the chatbot's functionality. Additionally, the project explores the potential benefits, limitations, and future directions of utilizing AI chatbots in biological databases.