Enzyme Tunnels and Gates As Relevant Targets in Drug Design
Language English Country United States Media print-electronic
Document type Journal Article, Review, Research Support, Non-U.S. Gov't
PubMed
27957758
DOI
10.1002/med.21430
Knihovny.cz E-resources
- Keywords
- drug binding, drug design, protein gates, protein tunnels, selectivity, specificity,
- MeSH
- Molecular Targeted Therapy * MeSH
- Enzymes metabolism MeSH
- Humans MeSH
- Models, Molecular MeSH
- Drug Design MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
- Names of Substances
- Enzymes MeSH
Many enzymes contain tunnels and gates that are essential to their function. Gates reversibly switch between open and closed conformations and thereby control the traffic of small molecules-substrates, products, ions, and solvent molecules-into and out of the enzyme's structure via molecular tunnels. Many transient tunnels and gates undoubtedly remain to be identified, and their functional roles and utility as potential drug targets have received comparatively little attention. Here, we describe a set of general concepts relating to the structural properties, function, and classification of these interesting structural features. In addition, we highlight the potential of enzyme tunnels and gates as targets for the binding of small molecules. The different types of binding that are possible and the potential pharmacological benefits of such targeting are discussed. Twelve examples of ligands bound to the tunnels and/or gates of clinically relevant enzymes are used to illustrate the different binding modes and to explain some new strategies for drug design. Such strategies could potentially help to overcome some of the problems facing medicinal chemists and lead to the discovery of more effective drugs.
References provided by Crossref.org
Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web
Fast Screening of Inhibitor Binding/Unbinding Using Novel Software Tool CaverDock
Caver Web 1.0: identification of tunnels and channels in proteins and analysis of ligand transport