In silico mutagenesis in recombinant human keratinocyte growth factor: Improvement of stability and activity in addition to decrement immunogenicity.


Journal

Journal of molecular graphics & modelling
ISSN: 1873-4243
Titre abrégé: J Mol Graph Model
Pays: United States
ID NLM: 9716237

Informations de publication

Date de publication:
06 2020
Historique:
received: 27 08 2019
revised: 07 01 2020
accepted: 27 01 2020
pubmed: 8 2 2020
medline: 22 6 2021
entrez: 8 2 2020
Statut: ppublish

Résumé

The recombinant human keratinocyte growth factor (rhKGF) is clinically applied to decrease the incidence and duration of cancer therapeutic agents. Particularly, it is extensively used for oral mucositis after chemotherapy-induced damage of different human cancers. However, the usage of rhKGF in treatment is limited owing to its short half-life, poor stability, immunogenicity, tendency to aggregate, and side effects. Therefore, there is a need to enhance the stability and to reduce immunogenicity of rhKGF for therapeutic applications. In this study, the stability, activity, and immunogenicity of rhKGF were improved using computational methods. The several mutations were generated based on sequence alignment, amino acids physic-chemical properties, and the structure simulation. The 3D structure of rhKGF and proposed mutants were predicted by Modeller v9.15 program, and then were evaluated using PROSESS, PROCHECK, and ProSA web tools. Afterwards, the effect of these mutants on rhKGF structure, stability, activity, and its interaction with fibroblast growth factor receptor2-IIb (FGFR2-IIb) was analyzed through utilizing GROMACS molecular dynamics simulations and docking tools, respectively. Also, binding free energies were calculated by the Molecular Mechanics/Poisson-Boltzmann Surface Area (MM/PBSA) method. We found that F63Y, R121K, and combine1 (K38R, F63Y, K72E, N105S) mutants lead to reduction of the number of T-cell epitopes. However, all of the selected mutants, except for R121K, could considerably increase stability and affinity of the rhKGF to FGFR2-IIb, in silico. In conclusion, this study, for the first time, offered that the combine1 and F63Y mutants could highly improve the stability and activity of rhKGF and even reduce immunogenicity without having any significant effect on the biological functions of rhKGF.

Identifiants

pubmed: 32032931
pii: S1093-3263(19)30661-8
doi: 10.1016/j.jmgm.2020.107551
pii:
doi:

Substances chimiques

FGF7 protein, human 0
Recombinant Proteins 0
Fibroblast Growth Factor 7 126469-10-1
Fibroblast Growth Factors 62031-54-3

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

107551

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest There are no conflicts of interest.

Auteurs

Hourieh Kalhor (H)

Cellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran. Electronic address: kalhor.h1389@yahoo.com.

Solmaz Sadeghi (S)

Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: s.sadeghi1367@yahoo.com.

Mahya Marashiyan (M)

Molecular Medicine Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran. Electronic address: sm.marashiyan@gmail.com.

Maryam Enssi (M)

Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, IR, Iran. Electronic address: maryam20_nc@yahoo.com.

Reyhaneh Kalhor (R)

Department of Genetics, Colleague of Sciences, Kazerun Branch, Islamic Azad University, Kazerun, Iran. Electronic address: kalhor_reihane@yahoo.com.

Maziar Ganji (M)

Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: maziar.ganji92@gmail.com.

Hamzeh Rahimi (H)

Molecular Medicine Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran. Electronic address: rahimi.h1981@gmail.com.

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Classifications MeSH