2023
DOI: 10.1016/j.csbj.2023.10.009
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Computer-assisted stabilization of fibroblast growth factor FGF-18

Jan Vilim,
Tereza Ghazalova,
Eliska Petulova
et al.
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“…The computational approaches have been often applied for enzyme stabilization when the constructed thermostable single- and multiple-point variants simultaneously exhibited increased activity at higher temperatures [46] , [47] . In the case of FGF protein stabilization, the computational design combining the energy-based and evolution-based calculations resulted in the protein variants where the enhanced melting temperature was positively correlated with prolonged bioactivity at 37 °C [26] , maintained mitogenic activity upon preincubation at elevated temperatures, and enhanced resistance towards proteolytic degradation [48] . This motivates us to apply such computational design also for the stabilization of FGF21.…”
Section: Introductionmentioning
confidence: 99%
“…The computational approaches have been often applied for enzyme stabilization when the constructed thermostable single- and multiple-point variants simultaneously exhibited increased activity at higher temperatures [46] , [47] . In the case of FGF protein stabilization, the computational design combining the energy-based and evolution-based calculations resulted in the protein variants where the enhanced melting temperature was positively correlated with prolonged bioactivity at 37 °C [26] , maintained mitogenic activity upon preincubation at elevated temperatures, and enhanced resistance towards proteolytic degradation [48] . This motivates us to apply such computational design also for the stabilization of FGF21.…”
Section: Introductionmentioning
confidence: 99%