Death by a thousand cuts through kinase inhibitor combinations that maximize selectivity and enable rational multitargeting

  1. Ian R Outhwaite
  2. Sukrit Singh
  3. Benedict-Tilman Berger
  4. Stefan Knapp
  5. John D Chodera
  6. Markus A Seeliger  Is a corresponding author
  1. Stony Brook University, United States
  2. Memorial Sloan Kettering Cancer Center, United States
  3. Goethe University Frankfurt, Germany

Abstract

Kinase inhibitors are successful therapeutics in the treatment of cancers and autoimmune diseases and are useful tools in biomedical research. However, the high sequence and structural conservation of the catalytic kinase domain complicates the development of selective kinase inhibitors. Inhibition of off-target kinases makes it difficult to study the mechanism of inhibitors in biological systems. Current efforts focus on the development of inhibitors with improved selectivity. Here, we present an alternative solution to this problem by combining inhibitors with divergent off-target effects. We develop a multicompound-multitarget scoring (MMS) method that combines inhibitors to maximize target inhibition and to minimize off-target inhibition. Additionally, this framework enables optimization of inhibitor combinations for multiple on-targets. Using MMS with published kinase inhibitor datasets we determine potent inhibitor combinations for target kinases with better selectivity than the most selective single inhibitor and validate the predicted effect and selectivity of inhibitor combinations using in vitro and in cellulo techniques. MMS greatly enhances selectivity in rational multitargeting applications. The MMS framework is generalizable to other non-kinase biological targets where compound selectivity is a challenge and diverse compound libraries are available.

Data availability

Instructions to run MMS, code, datasets, and MMS results are available at: https://github.com/iouthwaite/inhibitor_combinations

Article and author information

Author details

  1. Ian R Outhwaite

    Department of Pharmacological Sciences, Stony Brook University, Stony Brook, United States
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2037-3261
  2. Sukrit Singh

    Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, United States
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1914-4955
  3. Benedict-Tilman Berger

    Institute of Pharmaceutical Chemistry, Goethe University Frankfurt, Frankfurt, Germany
    Competing interests
    Benedict-Tilman Berger, is the CEO and a shareholder of CELLinib GmbH, Frankfurt, Germany..
  4. Stefan Knapp

    Institute of Pharmaceutical Chemistry, Goethe University Frankfurt, Frankfurt, Germany
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5995-6494
  5. John D Chodera

    Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, United States
    Competing interests
    John D Chodera, is a current member of the Scientific Advisory Boards of OpenEye Scientific Software, Interline Therapeutics, and Redesign Science. The Chodera laboratory receives or has received funding from the National Institute of Health, the National Science Foundation, the Parker Institute for Cancer Immunotherapy, Relay Therapeutics, Entasis Therapeutics, Silicon Therapeutics, EMD Serono (Merck KGaA), AstraZeneca, Vir Biotechnology, XtalPi, Interline Therapeutics, and the Molecular Sciences Software Institute, the Starr Cancer Consortium, the Open Force Field Consortium, Cycle for Survival, a Louis V. Gerstner Young Investigator Award, and the Sloan Kettering Institute. A complete funding history for the Chodera lab can be found at http://choderalab.org/funding..
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0542-119X
  6. Markus A Seeliger

    Department of Pharmacological Sciences, Stony Brook University, Stony Brook, United States
    For correspondence
    markus.seeliger@stonybrook.edu
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0990-1756

Funding

National Institutes of Health (R35GM119437)

  • Markus A Seeliger

National Institutes of Health (T32GM136572)

  • Ian R Outhwaite

National Institutes of Health (R01GM121505)

  • John D Chodera

Damon Runyon Cancer Research Foundation (DRQ-14-22)

  • Sukrit Singh

National Institutes of Health (T32GM008444)

  • Ian R Outhwaite

Structural Genomics Consortium

  • Stefan Knapp

German Translational Cancer Network

  • Stefan Knapp

Deutsche Forschungsgemeinschaft (1399)

  • Benedict-Tilman Berger
  • Stefan Knapp

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2023, Outhwaite et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,749
    views
  • 254
    downloads
  • 1
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Ian R Outhwaite
  2. Sukrit Singh
  3. Benedict-Tilman Berger
  4. Stefan Knapp
  5. John D Chodera
  6. Markus A Seeliger
(2023)
Death by a thousand cuts through kinase inhibitor combinations that maximize selectivity and enable rational multitargeting
eLife 12:e86189.
https://doi.org/10.7554/eLife.86189

Share this article

https://doi.org/10.7554/eLife.86189

Further reading

    1. Biochemistry and Chemical Biology
    2. Cell Biology
    Senem Ntourmas, Martin Sachs ... Dominic B Bernkopf
    Research Article

    Activation of the Wnt/β-catenin pathway crucially depends on the polymerization of dishevelled 2 (DVL2) into biomolecular condensates. However, given the low affinity of known DVL2 self-interaction sites and its low cellular concentration, it is unclear how polymers can form. Here, we detect oligomeric DVL2 complexes at endogenous protein levels in human cell lines, using a biochemical ultracentrifugation assay. We identify a low-complexity region (LCR4) in the C-terminus whose deletion and fusion decreased and increased the complexes, respectively. Notably, LCR4-induced complexes correlated with the formation of microscopically visible multimeric condensates. Adjacent to LCR4, we mapped a conserved domain (CD2) promoting condensates only. Molecularly, LCR4 and CD2 mediated DVL2 self-interaction via aggregating residues and phenylalanine stickers, respectively. Point mutations inactivating these interaction sites impaired Wnt pathway activation by DVL2. Our study discovers DVL2 complexes with functional importance for Wnt/β-catenin signaling. Moreover, we provide evidence that DVL2 condensates form in two steps by pre-oligomerization via high-affinity interaction sites, such as LCR4, and subsequent condensation via low-affinity interaction sites, such as CD2.

    1. Biochemistry and Chemical Biology
    2. Physics of Living Systems
    Debabrata Dey, Shir Marciano ... Gideon Schreiber
    Research Article

    For drugs to be active they have to reach their targets. Within cells this requires crossing the cell membrane, and then free diffusion, distribution, and availability. Here, we explored the in-cell diffusion rates and distribution of a series of small molecular fluorescent drugs, in comparison to proteins, by microscopy and fluorescence recovery after photobleaching (FRAP). While all proteins diffused freely, we found a strong correlation between pKa and the intracellular diffusion and distribution of small molecule drugs. Weakly basic, small-molecule drugs displayed lower fractional recovery after photobleaching and 10- to-20-fold slower diffusion rates in cells than in aqueous solutions. As, more than half of pharmaceutical drugs are weakly basic, they, are protonated in the cell cytoplasm. Protonation, facilitates the formation of membrane impermeable ionic form of the weak base small molecules. This results in ion trapping, further reducing diffusion rates of weakly basic small molecule drugs under macromolecular crowding conditions where other nonspecific interactions become more relevant and dominant. Our imaging studies showed that acidic organelles, particularly the lysosome, captured these molecules. Surprisingly, blocking lysosomal import only slightly increased diffusion rates and fractional recovery. Conversely, blocking protonation by N-acetylated analogues, greatly enhanced their diffusion and fractional recovery after FRAP. Based on these results, N-acetylation of small molecule drugs may improve the intracellular availability and distribution of weakly basic, small molecule drugs within cells.