D3EGFR: a webserver for deep learning-guided drug sensitivity prediction and drug response information retrieval of EGFR mutation-driven lung cancer

As key oncogenic drivers in non-small cell lung cancer (NSCLC), various mutations of epidermal growth factor receptor (EGFR) with variable drug sensitivities have been the major obstacle for precision medicine. For the purpose, we built a database, namely D3EGFRdb, with the clinicopathologic characteristics and drug responses of 1,339 patients harboring EGFR mutations via literature mining. Besides, we developed a deep learning-based prediction model, namely D3EGFRAI, for drug sensitivity prediction of new EGFR mutation-driven NSCLC. The D3EGFR contained functions above is freely accessible at https://www.d3pharma.com/D3EGFR/index.php.