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Is it a Prime Time for AI-powered Virtual Drug Screening?

Year: 2017

Type: article

Abstract: Drug development pipeline inefficiency has called for more novel solutions and cutting-edge technologies. Artificial intelligence (AI)-based methods including different machine- and deep-learning algorithms have been employed for virtual drug screening. With the continuous refinement of algorithms, improvement of computing hardware, and increased availability of molecular datasets for drug development, it is certainly a prime time for AI-powered virtual drug screening.

Source: PubMed

Authors: Kristy Carpenter, Xudong Huang

Institutions: Harvard University, Massachusetts General Hospital

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Drug Discovery

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institute on Aging

Award: Nanoneurotoxicity of Metal Oxide Nanomaterials and Neurodegeneration