Artificial intelligence enhanced molecular databases can enable improved user-friendly bioinformatics and pave the way for novel applications

摘要

Molecular databases have enabled scientists across the globe to collaborate and contribute to the growth of the databases.The current form of the databases involves researcher input which is acted upon by algorithms developed by bioinformaticians leading to outputs for researchers.Experimental data analysis using the molecular databases normally results in a reduction in cost and time for in vitro experiments preceded by in silico stages.Molecular biology technologies are applied in multiple disciplines, generating enormous amounts of data every day, which, when deposited, requires professional staff to annotate, verify submissions and generally maintain the database.The rapid rise of artificial intelligence (AI) can be used to enhance molecular databases through incorporation of deep learning and deep reasoning to enable the molecular databases to partially self-maintain, bringing novel applications and the potential for an improved user-friendly interface for researchers who are not trained in bioinformatics to generate data that require bioinformatics-related analysis.