Machine learning and deep learning are two subfields of artificial intelligence. Both have their own advantages and disadvantages....
Machine learning (ML) is a powerful tool that has been increasingly used in drug discovery to accelerate the identification and op...
I. IntroductionToll-like receptors (TLRs) are a group of proteins that play a crucial role in the innate immune system by recogniz...
I. IntroductionHit identification is the process of identifying small molecules or compounds that have the potential to bind to a...
I. IntroductionHit identification strategies are essential in drug discovery, as they help identify compounds that have the potent...
I. IntroductionFragment-based drug discovery Fragment-based drug discovery (FBDD) is a powerful approach to drug development that...
Fragment-based drug discovery (FBDD) is a powerful approach that involves the screening of small, low molecular-weight compounds (...
I. IntroductionDeep learning is a subset of machine learning that utilizes artificial neural networks to model and solve complex p...
I. IntroductionHit validation is a crucial step in drug discovery that involves confirming the activity of a potential drug candid...
I. Introduction - Explanation of organ chips and their relevance in drug discovery Organ chips are microscale devices that...