Publication Date:
2012-12-14
Description:
The clinical efficacy and safety of a drug is determined by its activity profile across many proteins in the proteome. However, designing drugs with a specific multi-target profile is both complex and difficult. Therefore methods to design drugs rationally a priori against profiles of several proteins would have immense value in drug discovery. Here we describe a new approach for the automated design of ligands against profiles of multiple drug targets. The method is demonstrated by the evolution of an approved acetylcholinesterase inhibitor drug into brain-penetrable ligands with either specific polypharmacology or exquisite selectivity profiles for G-protein-coupled receptors. Overall, 800 ligand-target predictions of prospectively designed ligands were tested experimentally, of which 75% were confirmed to be correct. We also demonstrate target engagement in vivo. The approach can be a useful source of drug leads when multi-target profiles are required to achieve either selectivity over other drug targets or a desired polypharmacology.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3653568/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3653568/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Besnard, Jeremy -- Ruda, Gian Filippo -- Setola, Vincent -- Abecassis, Keren -- Rodriguiz, Ramona M -- Huang, Xi-Ping -- Norval, Suzanne -- Sassano, Maria F -- Shin, Antony I -- Webster, Lauren A -- Simeons, Frederick R C -- Stojanovski, Laste -- Prat, Annik -- Seidah, Nabil G -- Constam, Daniel B -- Bickerton, G Richard -- Read, Kevin D -- Wetsel, William C -- Gilbert, Ian H -- Roth, Bryan L -- Hopkins, Andrew L -- 083481/Wellcome Trust/United Kingdom -- BB/FOF/PF/15/09/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/J010510/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- MH082441/MH/NIMH NIH HHS/ -- R01 DA017204/DA/NIDA NIH HHS/ -- R01 MH061887/MH/NIMH NIH HHS/ -- U19 MH082441/MH/NIMH NIH HHS/ -- WT 083481/Wellcome Trust/United Kingdom -- England -- Nature. 2012 Dec 13;492(7428):215-20. doi: 10.1038/nature11691.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Biological Chemistry and Drug Discovery, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23235874" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
Automation
;
Drug Delivery Systems
;
*Drug Design
;
Female
;
*Ligands
;
Male
;
Mice
;
Mice, Inbred C57BL
;
Models, Theoretical
;
Pharmacological Phenomena
;
Reproducibility of Results
Print ISSN:
0028-0836
Electronic ISSN:
1476-4687
Topics:
Biology
,
Chemistry and Pharmacology
,
Medicine
,
Natural Sciences in General
,
Physics
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