RT Journal Article
SR Electronic
T1 Computer-Assisted Engineering of Hyperstable Fibroblast Growth Factor 2
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 100636
DO 10.1101/100636
A1 Pavel Dvorak
A1 David Bednar
A1 Pavel Vanacek
A1 Lukas Balek
A1 Livia Eiselleova
A1 Veronika Stepankova
A1 Eva Sebestova
A1 Michaela Kunova Bosakova
A1 Zaneta Konecna
A1 Stanislav Mazurenko
A1 Antonin Kunka
A1 Daniel Horak
A1 Radka Chaloupkova
A1 Jan Brezovsky
A1 Pavel Krejci
A1 Zbynek Prokop
A1 Petr Dvorak
A1 Jiri Damborsky
YR 2017
UL http://biorxiv.org/content/early/2017/01/15/100636.abstract
AB Fibroblast growth factors (FGFs) play 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 in vivo and in vitro. 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.