Work

Machine Learning and Scoring Functions (SFs) for Molecular Drug Discovery: Prediction and Characterisation of Druggable Drugs and Targets

Year: 2020

Type: book-chapter

Source: Royal Society of Chemistry eBooks

DOI: 10.1039/9781839160233-00251

Authors: I. L. Hudson, S. Y. Leemaqz, A. D. Abell

Institutions: RMIT University, The University of Adelaide, ARC Centre for Nanoscale BioPhotonics

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3042501251

FWCI:

Cites: 67

Cited by:

Related to: 10