The results show that while AVN chemical representation, in conjunction with SVR algorithm, achieved the highest predictive accuracy, with R2 of 0.735 in FGFR1 dataset; The mTOR dataset demonstrated the highest average performance across all models and chemical representations, with an R2 of 0.592 across various cancer datasets. The gene discussed is MTOR; the disease is cancer.