The papers in this special section focus on computational genomics and molecular medicine for emerging COVID-19. In 2020, World Health Organization announced Coronavirus disease (COVID)-19 is a pandemic disease, which is devastated the socio-economic life around the world. The disease caused by the zoonotic single-strand RNA virus known as “SARS-CoV-2”. To overcome the pandemic, the diagnosis and therapeutics products needs to be developed in short term. Developing therapeutics for infectious diseases, especially viral diseases always a challenging task for the scientific community. However, the utility of high-performance computational resources, artificial intelligence, and machine-learning algorithms can make the process in an affordable way through the usage of genomics, proteomics, pharmacogenomics, and chemical data. Thus, the special section received potential research articles related to computational genomics, molecular medicine, and COVID-19 from reputed scientist around the world. Different articles were employed machine learning, molecular dynamics, computer aided drug design techniques, and emphasizing viral genomics, mutation, drug target, drug candidates, and patient data, were included in this special section.

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社论：用于新兴 COVID-19 的计算基因组学和分子医学

本专题部分的论文侧重于新兴 COVID-19 的计算基因组学和分子医学。2020 年，世界卫生组织宣布冠状病毒病 (COVID)-19 是一种大流行病，它摧毁了世界各地的社会经济生活。这种由人畜共患病单链 RNA 病毒引起的疾病，称为“SARS-CoV-2”。为了克服大流行，需要在短期内开发诊断和治疗产品。开发传染病，尤其是病毒性疾病的治疗方法对科学界来说始终是一项具有挑战性的任务。然而，高性能计算资源、人工智能和机器学习算法的效用可以通过使用基因组学、蛋白质组学、药物基因组学和化学数据以负担得起的方式进行。因此，特别部分收到了来自世界各地知名科学家的与计算基因组学、分子医学和 COVID-19 相关的潜在研究文章。不同的文章采用机器学习、分子动力学、计算机辅助药物设计技术，并强调病毒基因组学、突变、药物靶点、候选药物和患者数据，都包含在这个特殊部分中。