Prospective evaluation of structure-based simulations reveal their ability to predict the impact of kinase mutations on inhibitor binding

Sukrit Singh, Vytautas Gapsys, Matteo Aldeghi, David Schaller, Aziz M Rangwala, Jessica B White, Joseph P Bluck, Jenke Scheen, William G Glass, Jiaye Guo, Sikander Hayat, Bert L de Groot, Andrea Volkamer, Clara D Christ, Markus A Seeliger, John D Chodera.
[bioRxiv]

We show that alchemical free energy calculations have the potential to prospectively predict the impact of clinical kinase mutations on targeted kinase inhibitor binding.

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

Outhwaite IR, Singh S, Berger B-T, Knapp S, Chodera JD, Seeliger MA
eLife 12:e86189, 2024 [DOI] [bioRxiv] [GitHub]

We show how combinations of kinase inhibitors can achieve selectivity gains for rational kinase polypharmacology.

Mutation in Abl kinase with altered drug binding kinetics indicates a novel mechanism of imatinib resistance

Agatha Lyczek, Benedict Tilman Berger, Aziz M Rangwala, YiTing Paung, Jessica Tom, Hannah Philipose, Jiaye Guo, Steven K Albanese, Matthew B Robers, Stefan Knapp, John D Chodera, Markus A Seeliger
Preprint ahead of publication: [bioRxiv]

Here, we characterize the biophysical mechanisms underlying mutants of Abl kinase associated with clinical drug resistance to targeted cancer therapies. We uncover a surprising novel mechanism of mutational resistance to kinase inhibitor therapy in which the off-rate for inhibitor unbinding is increased without affecting inhibitor affinity.