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In directed evolution experiments, it is at stake to have methods to screen efficiently the mutant libraries. We propose a web-based tool that implements an established in silico method for the rational screening of mutant libraries. The method, known as ProSAR, attempts to link sequence data to activity. The method uses statistical models trained on small experimental datasets provided by the user. These can integrate potential epistatic interactions between mutations and be used in manydoi:10.1093/protein/gzu035 pmid:25169579 fatcat:pdktulrjrvfd3ja3vktnu7wf5u