Evidence map›Paper›PMID 26322290›Full record

ArticleAdvanced biomedical research2015

In silico design and analysis of a new hyperglycosylated analog of erythropoietin to improve drug efficacy.

Anvarsadat Kianmehr, Hamid Shahbaz Mohammadi, Mohammad Ali Shokrgozar, Eskandar Omidinia

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Article in Advanced biomedical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Anvarsadat KianmehrBiochemistry Department, Genetic and Metabolism Research Group, Pasteur Institute of Iran, Tehran ; Department of Medical Biotechnology, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Hamid Shahbaz MohammadiBiochemistry Department, Genetic and Metabolism Research Group, Pasteur Institute of Iran, Tehran.
Mohammad Ali ShokrgozarNational Cell Bank of Iran, New Technologies Research Group, Pasteur Institute of Iran, Tehran, Iran.
Eskandar OmidiniaBiochemistry Department, Genetic and Metabolism Research Group, Pasteur Institute of Iran, Tehran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe enhancement of glycosylation by applying glycoengineering approaches has become widely used to boost properties for protein therapeutics. The objective of this work was to engineer a new hyperglycosylated analog of erythropoietin (EPO) with appropriately targeted N-linked carbohydrates through bioinformatics tools. MATERIALS AND

methodsThe EPO protein sequence was retrieved from NCBI protein sequence database. Prediction of N-glycosylation sites for the target protein was done using the prediction server, NetNGlyc. The three-dimensional model of glycoengineered EPO (named as kypoetin) was constructed using the homology modeling program. Ramchandran plot obtained from PROCHECK server was used to check stereochemical property. Meanwhile, 3D model of kypoetin with attached N-carbohydrates was built up using the GlyProt server.

resultsIn the new modified analog, three additional N-glycosylation sites at amino-acid positions 30, 34 and 86 were inserted. Ramchandran plot analysis showed 81.6% of the residues in the most favored region, 15.6% in the additional allowed, 1.4% in the generously allowed regions and 1.4% in the disallowed region. 3D structural modeling showed that attached carbohydrates were on the proper spatial position. The whole solvent accessible surface areas of kypoetin (15132.69) were higher than EPO (9938.62).

conclusionsTotally, various model evaluation methods indicated that the glycoengineered version of EPO had considerably good geometry and acceptable profiles for clinical studies and could be considered as the effective drug.

Indexed as

Erythropoietin (EPO)glycoengineeringin silico

Identifiers

PMID26322290
PMCPMC4549927

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