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Computer-assisted engineering of hyperstable fibroblast growth factor 2

P. Dvorak, D. Bednar, P. Vanacek, L. Balek, L. Eiselleova, V. Stepankova, E. Sebestova, M. Kunova Bosakova, Z. Konecna, S. Mazurenko, A. Kunka, T. Vanova, K. Zoufalova, R. Chaloupkova, J. Brezovsky, P. Krejci, Z. Prokop, P. Dvorak, J. Damborsky,

. 2018 ; 115 (4) : 850-862. [pub] 20180124

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc19035456

Grantová podpora
NV15-33232A MZ0 CEP - Centrální evidence projektů

Fibroblast growth factors (FGFs) serve numerous regulatory functions in complex organisms, and their corresponding therapeutic potential is of growing interest to academics and industrial researchers alike. However, applications of these proteins are limited due to their low stability. Here we tackle this problem using a generalizable computer-assisted protein engineering strategy to create a unique modified FGF2 with nine mutations displaying unprecedented stability and uncompromised biological function. The data from the characterization of stabilized FGF2 showed a remarkable prediction potential of in silico methods and provided insight into the unfolding mechanism of the protein. The molecule holds a considerable promise for stem cell research and medical or pharmaceutical applications.

Citace poskytuje Crossref.org

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