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A perspective on multi-target drug discovery and design for complex diseases

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Ramsay_2018_ComplexDiseases_CC.pdf (1.040Mb)
Date
17/01/2018
Author
Ramsay, Rona R.
Popovic-Nikolicb, Marija R.
Nikolic, Katarina
Uliassi, Elisa
Bolognesi, Maria Laura
Keywords
Multi-target drugs
Neurodegeneration
Cancer
Cheminformatics
Virtual screening
Biological assays
RM Therapeutics. Pharmacology
RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
RC0254 Neoplasms. Tumors. Oncology (including Cancer)
QD Chemistry
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Abstract
Diseases of infection, of neurodegeneration (such as Alzheimer’s and Parkinson’s diseases), and of malignancy (cancers) have complex and varied causative factors. Modern drug discovery has the power to identify potential modulators for multiple targets from millions of compounds. Computational approaches allow the determination of the association of each compound with its target before chemical synthesis and biological testing is done. These approaches depend on the prior identification of clinically and biologically validated targets. This Perspective will focus on the molecular and computational approaches that underpin drug design by medicinal chemists to promote understanding and collaboration with clinical scientists.
Citation
Ramsay , R R , Popovic-Nikolicb , M R , Nikolic , K , Uliassi , E & Bolognesi , M L 2018 , ' A perspective on multi-target drug discovery and design for complex diseases ' , Clinical and Translational Medicine , vol. 7 , 3 . https://doi.org/10.1186/s40169-017-0181-2
Publication
Clinical and Translational Medicine
Status
Peer reviewed
DOI
https://doi.org/10.1186/s40169-017-0181-2
ISSN
2001-1326
Type
Journal item
Rights
© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Description
KN and MPN acknowledge national project number 172033 supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/12499

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