Ranjbar M M, Ebrahimi M M, Shahsavandi S, Farhadi T, Mirjalili A, Tebianian M, Motedayen M H
Department of FMD, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Department of Avian Vaccine,Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Arch Razi Inst. 2019 Sep;74(3):219-233. doi: 10.22092/ari.2018.122523.1224. Epub 2019 Oct 1.
There are many challenges in the field of public health sciences. Rational decisions are required in order to treat different diseases, gain knowledge and wealth regarding research, and produce biological or synthetic products. Various advances in the basic laboratory science, computer science, and the engineering of biological production processes can help solve the occurring problems. Bioinformatics is defined as a field of science combined of biology, mathematics, physics, chemistry, and computer sciences. Recently, bioinformatics has been extensively used in the designing of the epitope, vaccines, antibodies, adjuvants, diagnostic kits, and therapeutic purposes (e.g., proteins, peptides, or small molecules). Moreover, bioinformatics includes chemoinformatics that has been employed to produce various biological or chemical products to target and combat pathogens. Bioinformatics is involved in other areas of data analysis and prediction, such as structural biology, system biology, phylogeny, population genetics, and next-generation data sequencing. To the best of our knowledge, no published study coherently described the benefits of bioinformatics fields applied for medication development or diagnostic aims in bio-productive and pharmaceutical/vaccine companies. Therefore, in the current review, we attempted to present the available bioinformatics resources, practical experiences, and other findings in the mentioned field along with providing a harmonized and applied model(s). The key points presented in the current review may help to elevate production and reduce the costs for the development of novel vaccines, medicines, and antibodies. In addition, these methods can facilitate the identification of organisms and may guarantee the quality of biological products.
公共卫生科学领域存在诸多挑战。为了治疗不同疾病、获取有关研究的知识和财富以及生产生物或合成产品，需要做出合理决策。基础实验室科学、计算机科学以及生物生产过程工程学的各种进展有助于解决出现的问题。生物信息学被定义为一个融合了生物学、数学、物理学、化学和计算机科学的科学领域。最近，生物信息学已广泛应用于表位设计、疫苗、抗体、佐剂、诊断试剂盒以及治疗目的（如蛋白质、肽或小分子）。此外，生物信息学包括化学信息学，已被用于生产各种生物或化学产品以靶向和对抗病原体。生物信息学还涉及数据分析和预测的其他领域，如结构生物学、系统生物学、系统发育学、群体遗传学以及下一代数据测序。据我们所知，尚无已发表的研究连贯地描述生物信息学领域在生物生产和制药/疫苗公司用于药物开发或诊断目的的益处。因此，在当前的综述中，我们试图展示上述领域可用的生物信息学资源、实践经验及其他发现，并提供一个统一的应用模型。当前综述中呈现的要点可能有助于提高新型疫苗、药物和抗体的产量并降低开发成本。此外，这些方法可促进生物体的鉴定，并可保证生物产品的质量。
