Application of Protein Crystallography and Machine Learning Data for the Development of a Peptide Vaccine against African Swine Fever

IF 0.6 4区材料科学 Q4 CRYSTALLOGRAPHY

Crystallography Reports Pub Date : 2024-02-05 DOI:10.1134/s1063774523601041

A. S. Ivanovsky, I. A. Kolesnikov, Yu. V. Kordonskaya, A. V. Ermakov, M. A. Marchenkova, V. I. Timofeev, Yu. V. Pisarevsky, Yu. A. Dyakova, M. V. Kovalchuk

引用次数: 0

Abstract

The genome of African swine fever (ASF) has been analyzed, and a protein that can serve an immunogen has been identified. A water-soluble fragment of this protein is shown (by the molecular dynamics) to be stable in an aqueous saline solution. Immunomodeling has shown that this fragment causes a cellular response and, therefore, may serve a vaccine prototype.

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应用蛋白质晶体学和机器学习数据开发非洲猪瘟多肽疫苗

摘要对非洲猪瘟（ASF）的基因组进行了分析，并确定了一种可作为免疫原的蛋白质。分子动力学研究表明，这种蛋白质的水溶性片段在生理盐水溶液中是稳定的。免疫模型显示，该片段可引起细胞反应，因此可作为疫苗原型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Crystallography Reports 化学-晶体学

CiteScore

1.10

自引率

28.60%

发文量

审稿时长

4-8 weeks

期刊介绍： Crystallography Reports is a journal that publishes original articles short communications, and reviews on various aspects of crystallography: diffraction and scattering of X-rays, electrons, and neutrons, determination of crystal structure of inorganic and organic substances, including proteins and other biological substances; UV-VIS and IR spectroscopy; growth, imperfect structure and physical properties of crystals; thin films, liquid crystals, nanomaterials, partially disordered systems, and the methods of studies.

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