Simulation of Ligand Transport in Receptors Using CaverDock
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články, práce podpořená grantem
- Klíčová slova
- Drug design, Enzyme engineering, Ligand screening, Ligand transport, Molecular docking, Tunnel analysis,
- MeSH
- chlorhydriny chemie MeSH
- ethanol analogy a deriváty chemie MeSH
- ethylendibromid chemie MeSH
- hydrolasy chemie MeSH
- kyselina arachidonová chemie MeSH
- ligandy MeSH
- objevování léků metody MeSH
- proteiny chemie MeSH
- racionální návrh léčiv MeSH
- simulace molekulární dynamiky MeSH
- simulace molekulového dockingu metody MeSH
- software MeSH
- systém (enzymů) cytochromů P-450 chemie MeSH
- termodynamika MeSH
- vazba proteinů MeSH
- vazebná místa MeSH
- vztahy mezi strukturou a aktivitou MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- 2,3-dichloro-1-propanol MeSH Prohlížeč
- chlorhydriny MeSH
- ethanol MeSH
- ethylendibromid MeSH
- ethylene bromohydrin MeSH Prohlížeč
- haloalkane dehalogenase MeSH Prohlížeč
- hydrolasy MeSH
- kyselina arachidonová MeSH
- ligandy MeSH
- proteiny MeSH
- systém (enzymů) cytochromů P-450 MeSH
Interactions between enzymes and small molecules lie in the center of many fundamental biochemical processes. Their analysis using molecular dynamics simulations have high computational demands, geometric approaches fail to consider chemical forces, and molecular docking offers only static information. Recently, we proposed to combine molecular docking and geometric approaches in an application called CaverDock. CaverDock is discretizing enzyme tunnel into discs, iteratively docking with restraints into one disc after another and searching for a trajectory of the ligand passing through the tunnel. Here, we focus on the practical side of its usage describing the whole method: from getting the application, and processing the data through a workflow, to interpreting the results. Moreover, we shared the best practices, recommended how to solve the most common issues, and demonstrated its application on three use cases.
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