Protein kinases play central roles in the signaling pathways that regulate the growth and proliferation of cells, and aberrant kinase activity contributes to the development of many cancers. Recent success in treating particular cancers with targeted protein kinases inhibitors, notably lung cancer and chronic myeloid leukemia, underscores the importance of these proteins in oncogenesis, and highlights the need for additional kinase inhibitors to treat other cancers. The development of new kinase inhibitors is challenging because the high sequence conservation of the kinase ATP-binding site, the major site targeted by these small molecules, makes it difficult to obtain compounds that are selective for particular kinases. The current study aims to address this problem through an entirely new experimental approach that utilizes advances in physical chemistry.
In Aim 1, a new spectroscopic technique called vibrational Stark spectroscopy will be used to construct a map of the electrostatics of the ATP-binding site and how it varies across the ~500 members of this protein family. These measurements will be made using kinase inhibitors that possess vibrational probes of electric field, in which the probes report on the electrostatics they experience when bound in the ATP- binding site. Because these electrostatic maps relate to how the physical environment in the ATP- binding site appears from the perspective of the inhibitors, they will yield direct insight into how changes to the chemical structure of the inhibitors would affect the interaction with kinases. Differences uncovered between kinases in these measurements could be exploited to design more selective drugs.
In Aim 2, this possibility will be quantified by performing large-scale binding assays in which the selectivity of panels of kinase inhibitors will be revealed and directly compared to the electrostatics measurements to reveal how electrostatic variation dictates selectivity. While selectivity profiling is commonplace in the pharmaceutical industry, the comparison with the electrostatic maps determined in Aim 1 will allow the physical basis of inhibitor selectivity to be determined for the first time, guidingthe way to the development of inhibitors with new selectivity profiles.
In Aim 3 the characterization of the ATP-binding site will be completed by studying how this environment is affected by the dynamic rearrangements of protein groups and bound water molecules. The protein kinases now constitute a major group of pharmacological targets, and taken together this work will constitute the first comprehensive experimental study of how the physical properties of these proteins dictate their interaction with drug molecules.

Public Health Relevance

Cancer is one of the primary causes of death in the developed world, and for most patients treatment revolves mainly around the use of non-selective cytotoxic drugs, in addition to radiation therapy and surgery. Recent dramatic success in the treatment of several types of cancer with kinase inhibitors has demonstrated that a different approach, which selectively targets the molecular anomaly responsible for the disease, has many advantages. This project will study the physical principles that govern the ability of drugs to selectivity target particular protein kinases, potentially leading to new treatments for cancers caused by mutated protein kinases.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Career Transition Award (K99)
Project #
5K99GM102288-02
Application #
8527807
Study Section
Special Emphasis Panel (ZGM1-BRT-X (KR))
Program Officer
Gerratana, Barbara
Project Start
2012-08-13
Project End
2014-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
2
Fiscal Year
2013
Total Cost
$90,000
Indirect Cost
$6,667
Name
Stanford University
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
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Levinson, Nicholas M; Boxer, Steven G (2014) A conserved water-mediated hydrogen bond network defines bosutinib's kinase selectivity. Nat Chem Biol 10:127-32