Human anaplastic lymphoma kinase (ALK) is a potential target for the treatment of pediatric acute lymphoblastic leukemia. However, a number of residue mutations in ALK kinase domain have been observed to cause drug resistance in pediatric acute lymphoblastic leukemia chemotherapy. Here, a chemometrics quantitative structure‐activity relationship predictor was developed using a structure‐based panel of kinase‐inhibitor activity data. The predictor was validated rigorously through internal cross‐validation and external blind test to ensure its statistical reliability, which was then used to computationally construct a systematic activity profile of 13 noncognate kinase inhibitors against both wild‐type ALKwt and cancer‐related variants ALKvt. It is revealed that most noncognate inhibitors exhibit weak potency on ALKwt, but some of them are able to selectively target ALKvt over ALKwt. The chemometrics findings were then evaluated by using a kinase inhibition protocol; results showed that few noncognate inhibitors are 2‐ to 5‐fold higher potent against ALK variant than wild‐type kinase.