Virtual screening strategies in drug discovery: a critical review.

By Antonio Lavecchia, C. D. Giovanni. Current Medicinal Chemistry, 2013

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Role of computer-aided drug design in modern drug discovery (2015, methodology): “Innovations in combinatorial chemistry that led to the increase of compound databases covering large chemical spaces aided in the expansion of drug discovery and the development of high-throughput screening (HTS) (Jhoti et al. 2013; Lavecchia and Di Giovanni 2013).”
Artificial intelligence to deep learning: machine intelligence approach for drug discovery (2021, methodology): “VS is an efficient method to screen out the promising therapeutic compound from a pool of compounds [158].”
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases (2018, background): “[29, 33, 34], • Proteochemometric modeling (PCM) approach models the inter-”
A Structure-Based Drug Discovery Paradigm (2019, background): “The top hits of the computational screening are then tested in vitro [3,37].”
Structure-Based Virtual Screening for Drug Discovery: Principles, Applications and Recent Advances (2014, background): “A variety of scoring functions have hitherto been developed (reviewed in [1, 5]).”