The first protein structures revealed a complex web of weak interactions stabilising the three-dimensional shape of the molecule. Small molecule ligands were then found to exploit these same weak binding events to modulate protein function or act as substrates in enzymatic reactions. As the understanding of ligand–protein binding grew, it became possible to firstly predict how and where a particular small molecule might interact with a protein, and then to identify putative ligands for a specific protein site. Computer-aided drug discovery, based on the structure of target proteins, is now a well-established technique that has produced several marketed drugs. We present here an overview of the various methodologies being used for structure-based computer-aided drug discovery and comment on possible future developments in the field.
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October 2018
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Cover Image
Cover Image
In this issue, Mahkoul et al. discuss the relationship between the architecture of the Golgi, the cytoskeleton and the regulation of signalling networks in the cytoplasm and nucleus. The cover image, provided by the authors, shows fluorescently labelled cells: actin (magenta), Golgi (red) late endosomes/lysosomes (green) and nucleus (blue). For further details see pages 1063–1072.
Review Article|
September 21 2018
Protein structure and computational drug discovery
Tracy L. Nero;
Tracy L. Nero
1Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Victoria 3010, Australia
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Michael W. Parker;
1Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Victoria 3010, Australia
2Australian Cancer Research Foundation Rational Drug Discovery Centre, St. Vincent's Institute of Medical Research, Fitzroy, Victoria 3065, Australia
Correspondence: Michael W. Parker (mwp@unimelb.edu.au)
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Craig J. Morton
Craig J. Morton
1Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Victoria 3010, Australia
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Biochem Soc Trans (2018) 46 (5): 1367–1379.
Article history
Received:
June 27 2018
Revision Received:
August 08 2018
Accepted:
August 13 2018
Citation
Tracy L. Nero, Michael W. Parker, Craig J. Morton; Protein structure and computational drug discovery. Biochem Soc Trans 19 October 2018; 46 (5): 1367–1379. doi: https://doi.org/10.1042/BST20180202
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