Cells must integrate information from their environments to make decisions. To do this, they have developed complex signaling networks that govern proliferation, survival, and migration in response to various cues. Cell signaling is frequently dysregulated in cancers, leading to uncontrolled tumor growth or spread to distant sites in the body.
Kinases are a family of proteins that function as critical integrators of cell signaling. Mechanistically, they transfer phosphate groups from a donor ATP molecule to various acceptor proteins. Phosphorylation induces a conformational change that typically “activates” the acceptor protein so that it can propagate a signal through the appropriate cascade. Different kinases target different acceptor proteins, but the regions that bind to ATP are highly conserved across kinases. This makes it extremely challenging for researchers to pharmacologically target specific kinases because drugs that interfere with ATP binding have dramatic off-target effects.
Focal adhesion kinase (FAK) can be activated by several external signals and has important roles in coordinating cell migration, proliferation, and survival. FAK expression is elevated in certain types of breast and ovarian cancers, making it a potential clinical drug target, but inhibiting the protein with small molecule, ATP-competitive drugs to treat these cancers has been challenging because of the off-target effects.
Dr. Magnus Bauer in the Baker lab at the University of Washington and Dr. Behnam Nabet in the Human Biology Division wanted to solve this problem using protein design.
To start, Bauer used RFdiffusion, an AI tool developed by the Baker lab, to design proteins that bind the FAK kinase domain. Using existing structures of FAK in its active and inactive states as guides, the model generated candidate binders designed to interact with different conformations of the protein. They recombinantly expressed 96 of these candidate binders and tested their ability to inhibit or activate FAK. Of these, they found that three designs enhanced FAK activity, while 30 other designs inhibited FAK.
From there, the team chose the two most potent FAK inhibitors and the two most potent activators to validate biochemically. They tested FAK activity in the presence of all four binders by measuring the incorporation of a radiolabeled phosphate group into peptide substrates. Unsurprisingly, they saw that the activators increased phosphate incorporation, while the inhibitors decreased incorporation in a dose-dependent manner. All binders had low-nanomolar affinities, indicating that they bind strongly to FAK.
Next, Bauer and his team determined the crystal structure of FAK bound to one activating binder, which closely matched the computational design. Comparisons with AlphaFold3-predicted FAK-binder complexes suggested that activating binders stabilize a compact, active-like ATP-binding pocket, while inhibitory binders favor a more open, displaced pocket. Together, these findings support the group’s approach to designing proteins that modulate kinase activity.