LAUSR

Protein bioinformatics has been applied to a myriad of opportunities in biocatalysis from enzyme engineering to enzyme discovery, but its application in enzyme immobilization is still very limited. Enzyme immobilization brings clear advantages in terms of sustainability and cost‐efficiency but is still limited in its implementation. This, because it is a technique that remains tied to a quasi‐blind protocol of trial and error, and therefore, is regarded as a time‐intensive and costly approach. Here, we present the use of a set of bioinformatic tools to rationalize the results of protein immobilization that have been previously described. The study of proteins with these new tools allows the discovery of key driving forces in the process of immobilization that explain the obtained results, moving us a step closer to the final goal: predictive enzyme immobilization protocols.