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
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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。
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来源期刊
Crystallography Reports
Crystallography Reports 化学-晶体学
CiteScore
1.10
自引率
28.60%
发文量
96
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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