New method simplifies the search for protein receptor complexes, speeding drug development
Published: 20 May 2019
For a drug to intervene in cells or entire organs that are not behaving normally, it must first bind to specific protein receptors in the cell membranes.
For a drug to intervene in cells or entire organs that are not behaving normally, it must first bind to specific protein receptors in the cell membranes. Receptors can change their molecular structure in a multitude of ways during binding – and only the right structure will “unlock” the drug’s therapeutic effect.
Now, in a study published in Nature Methods, a new way of assessing the actions of medicines by matching them to their unique protein receptors has the potential to greatly accelerate drug development and diminish the number of drug trials that fail during clinical trials.
The method, developed by research teams from the University of Glasgow and the University of Wisconsin-Milwaukee, reduces the time and labour of finding the protein receptors “with the right response” to drug candidates by several orders of magnitude.
Valerica Raicu, UW-Milwaukee professor of physics, said: “It opens up a huge playing field for finding drug targets and drug stratification. Using this method, we can characterize how each receptor responds differently to various drug candidates.”
The researchers’ method tracks a chemical process called oligomerization that occurs when a receptor exists as a single subunit, but then shifts to a multi-structure – an oligomer – in the presence of the ligand (drug compound), or vice versa.
Prof Raicu, lead author, added: “We used to think of these receptors as binary. They were either activated by the compound or not. But now we are beginning to understand that, depending on the ligand, the same receptor can produce many different responses.”
The researchers first tested the method using fused florescent proteins produced by UW-Milwaukee assistant professor Ionel Popa. Then they validated the method on a receptor for a growth factor where malfunction is often linked to cancer – the epidermal growth factor receptor (EGF). Activation of the receptor resulted in the generation of larger oligomers, as anticipated.
The team then applied their method to a member of the G protein-coupled receptor (GPCR) family, a group of proteins that are targeted by a wide range of medicines.
The effect of the association between ligands and receptors was shown in a matter of hours, compared to months using current technologies.
Graeme Milligan, Gardiner Chair of Biochemistry at the University of Glasgow, said: “This new method of characterizing protein interactions will be important in the stratification of different medicines that target the same receptor.
“It will allow us to understand why some drug candidates are effective while others are not and can potentially be applied to different classes of proteins that are targets in the treatment of many diseases.”
The Raicu lab uses fluorescence-based imaging in order to see protein receptors in oligomeric states under various environmental conditions. Using single- or two-photon excitation microscopy, the researchers can produce a kind of road map of the various kinds of protein receptor oligomers in the absence or presence of ligands (or drugs) that bind to them.
Researchers image protein-receptor molecules by attaching florescent tags. This way, single-molecule protein receptors give off light when they pass under a laser and are excited, and those bursts are recorded with a camera. Receptor oligomers give off a more intense burst of light, and those are also photographed.
Prof Raicu said: “Now you can graph the intensity and the number of bursts, and see how many are associated into oligomers – how big they are – and where they are in the sample. After adding the ligand, you can see whether it promotes association of single molecules of receptor proteins into oligomers, or the breakdown of oligomers into the former.”
The study, 'A general method to quantify ligand-driven oligomerization from fluorescence-based images' is published in Nature Methods. The study is partly funded by the National Science Foundation (USA), the Medical Research Council and the UWM Research Growth Initiative grants.
First published: 20 May 2019