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.

EspalomaCharge: Machine learning-enabled ultra-fast partial charge assignment

Wang Y, Pulido I, Takaba K, Kaminow B, Scheen J, Wang L, Chodera JD
preprint: [arXiv]

We present a drop-in replacement for generating AM1-BCC ELF10 charges based on graph convolutional nets that is orders of magnitude faster than standard methods for both small molecules and biomolecules.