posted on 2023-09-08, 15:09authored byDénes Berta, Sascha Gehrke, Kinga Nyı́ri, Beáta G. Vértessy, Edina Rosta
Ras GTPases play a crucial role in cell signaling pathways.
Mutations
of the Ras gene occur in about one third of cancerous cell lines and
are often associated with detrimental clinical prognosis. Hot spot
residues Gly12, Gly13, and Gln61 cover 97% of oncogenic mutations,
which impair the enzymatic activity in Ras. Using QM/MM free energy
calculations, we present a two-step mechanism for the GTP hydrolysis
catalyzed by the wild-type Ras.GAP complex. We found that the deprotonation
of the catalytic water takes place via the Gln61 as a transient Brønsted
base. We also determined the reaction profiles for key oncogenic Ras
mutants G12D and G12C using QM/MM minimizations, matching the experimentally
observed loss of catalytic activity, thereby validating our reaction
mechanism. Using the optimized reaction paths, we devised a fast and
accurate procedure to design GAP mutants that activate G12D Ras. We
replaced GAP residues near the active site and determined the activation
barrier for 190 single mutants. We furthermore built a machine learning
for ultrafast screening, by fast prediction of the barrier heights,
tested both on the single and double mutations. This work demonstrates
that fast and accurate screening can be accomplished via QM/MM reaction
path optimizations to design protein sequences with increased catalytic
activity. Several GAP mutations are predicted to re-enable catalysis
in oncogenic G12D, offering a promising avenue to overcome aberrant
Ras-driven signal transduction by activating enzymatic activity instead
of inhibition. The outlined computational screening protocol is readily
applicable for designing ligands and cofactors analogously.