… Here, we focus more on DL applications in drug discovery particularly in the … and
highlight DL architectures used so far within drug discovery. Principles of deep learning …

… deep learning architectures that we think deserve special attention and consideration for drug
design and discovery: … Many more deep learning approaches have been conceived, and …

… review deep learning methods/tools relevant to drug discovery … Future prospects of deep
learning in drug discovery are … state-of-the-art in drug discovery and highlighting not only the …

… Over the last decade, deep learning (DL) methods have been … learning (ML) algorithms,
DL methods still have a long way to go to achieve recognition in small molecular drug discovery …

… applications of machine learning techniques in VS, including deep learning, which became
… the application of deep learning in biomedicine, including computational drug discovery. In …

… Compared with machine learning, deep learning approaches that … drug discovery (Fig. 1).
Here, we review current state-of-the-art deep-learning studies in the context of drug discovery …

… the implementation of artificial intelligence and deep learning in this field. Moreover… deep
learning advancements provide an excellent opportunity for rational drug design and discovery …

… DL-based drug discovery. The “Deep Learning Models” section explains DL methods for
drug discovery via comparison of the strengths and weaknesses of models. In the two sections, “…

… the drug discovery pipeline. We have given a general introduction to drug discovery process,
Machine learning … DL and AI-based tools for drug development. We also pointed out some …

… For these reasons, deep learning has broad applications across life science disciplines. … of
how deep learning has been applied in a number of areas including genetics, drug discovery, …