Department of Pharmacology, Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India.
Amity Institute of Pharmacy, Amity University, Gurugram 122413, India.
Int J Mol Sci. 2021 Jun 8;22(12):6184. doi: 10.3390/ijms22126184.
With advanced technology and its development, bioinformatics is one of the avant-garde fields that has managed to make amazing progress in the pharmaceutical-medical field by modeling the infrastructural dimensions of healthcare and integrating computing tools in drug innovation, facilitating prevention, detection/more accurate diagnosis, and treatment of disorders, while saving time and money. By association, bioinformatics and pharmacovigilance promoted both sample analyzes and interpretation of drug side effects, also focusing on drug discovery and development (DDD), in which systems biology, a personalized approach, and drug repositioning were considered together with translational medicine. The role of bioinformatics has been highlighted in DDD, proteomics, genetics, modeling, miRNA discovery and assessment, and clinical genome sequencing. The authors have collated significant data from the most known online databases and publishers, also narrowing the diversified applications, in order to target four major areas (tetrad): DDD, anti-microbial research, genomic sequencing, and miRNA research and its significance in the management of current pandemic context. Our analysis aims to provide optimal data in the field by stratification of the information related to the published data in key sectors and to capture the attention of researchers interested in bioinformatics, a field that has succeeded in advancing the healthcare paradigm by introducing developing techniques and multiple database platforms, addressed in the manuscript.
随着先进技术的发展,生物信息学是前沿领域之一,通过对医疗保健基础设施维度建模并整合药物创新中的计算工具,在疾病的预防、检测/更准确的诊断和治疗方面取得了惊人的进展,同时节省了时间和金钱。生物信息学和药物警戒学通过关联促进了样本分析和药物副作用的解释,同时还关注药物发现和开发 (DDD),其中系统生物学、个性化方法和药物重新定位与转化医学一起考虑。生物信息学在 DDD、蛋白质组学、遗传学、建模、miRNA 发现和评估以及临床基因组测序中发挥了重要作用。作者从最知名的在线数据库和出版商那里整理了重要数据,同时也缩小了多样化的应用范围,以便针对四个主要领域(四联症):DDD、抗菌研究、基因组测序和 miRNA 研究及其在当前大流行背景下管理的意义。我们的分析旨在通过对关键领域中与已发表数据相关的信息进行分层,提供该领域的最佳数据,并引起对生物信息学感兴趣的研究人员的关注,该领域通过引入开发技术和多个数据库平台成功地推动了医疗保健模式的发展,这些都在本文档中得到了阐述。