“…In recent years, with the cross‐application of computer science, computational chemistry, and other disciplines in protein engineering, there is an increasing number of means to address the challenge and a spurt of success stories. For example, reconstructing ancestral sequences by inferring phylogenetic relationships between modern homologs and applying different amino acid substitution models is considered a powerful approach to screen for enhanced thermostability or unique active proteins (Furukawa et al, 2020; Gumulya et al, 2018; Selberg et al, 2021; Spence et al, 2021); iterative conformational dynamics analysis (ICDA) based on molecular dynamics (MD) simulations can continuously improve the reliability of key amino acids used to construct mutant libraries, thereby increasing the likelihood of obtaining target variants, even if the protein models used in the simulations do not achieve the accuracy of real experimental structures (Heo et al, 2019; Li et al, 2021); and remodeling of protein surface charges successfully alters the pH adaptation or thermostability of enzymes (Han et al, 2021; Huang et al, 2021; Nakamura et al, 2021; Wang et al, 2020).…”