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Understanding the mechanisms of client protein interaction with Hsp70 chaperones is essential to analyze the complex dynamics in the context of normal or dysregulated metabolism. Because Hsp70 can bind millions of proteins, including key molecules involved in processes of stemness, tumorigenesis and survival, in silico prediction of Hsp70 interactions has great value in validating possible new clients. Currently, two algorithms are available to predict binding to DnaK-the bacterial Hsp70-but both are based on amino acid sequence and energy calculations of qualitative information-binders and non-binders.

ChaperISM: improved chaperone binding prediction using position-independent scoring matrices