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Engineering Strategies to Overcome the Stability–Function Trade-Off in Proteins

Magdalena Teufl, Charlotte U. Zajc, Michael W. Traxlmayr

2022ACS Synthetic Biology78 citationsDOIOpen Access PDF

Abstract

, deviations from the evolutionarily optimized wild-type sequence. In fact, it was demonstrated that gain-of-function mutations are not more destabilizing than other random mutations. The stability-function trade-off is a universal phenomenon during protein evolution that has been observed with completely different types of proteins, including enzymes, antibodies, and engineered binding scaffolds. In this review, we discuss three types of strategies that have been successfully deployed to overcome this omnipresent obstacle in protein engineering approaches: (i) using highly stable parental proteins, (ii) minimizing the extent of destabilization during functional engineering (by library optimization and/or coselection for stability and function), and (iii) repairing damaged mutants through stability engineering. The implementation of these strategies in protein engineering campaigns will facilitate the efficient generation of protein variants that are not only functional but also stable and therefore better-suited for subsequent applications.

Topics & Concepts

Protein engineeringDirected evolutionFunction (biology)Synthetic biologyStability (learning theory)Directed Molecular EvolutionComputational biologyProtein functionMutantMutationProtein stabilityProtein designPosttranslational modificationComputer scienceBiologyProtein structureGeneticsCell biologyGeneEnzymeBiochemistryMachine learningTransgenic Plants and ApplicationsMonoclonal and Polyclonal Antibodies ResearchCRISPR and Genetic Engineering
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