The outbreak of Coronavirus Disease 2019 (COVID-19) caused by SARS-CoV-2 (novel coronavirus, provisionally named 2019-nCoV) has occurred in many countries around the world. The virus can be identified in a short time thanks to high-throughput sequencing technology and bioinformatics analysis. However, the origin, evolution and pathogenic mechanism of the virus remain to be studied. Bioinformatics combines life science, computer science, and statistics to assist scientists in data mining and interpretation in high-throughput omics studies, thereby improving understanding of physiological and pathological processes. As a professional service vendor in the life sciences, Creative Biostructure is equipped with advanced computational instruments and software to provide high-quality bioinformatics analysis services for genomic in-depth analysis and proteomic data interpretation of COVID-19.
Coronaviruses can cause multiple systemic infections in a variety of animals. Six types of coronaviruses have been found to infect humans, and they mainly cause human respiratory infections. These include two highly fatal coronaviruses, SARS-CoV (causes Severe Acute Respiratory Syndrome) and MERS-CoV (causes Middle East Respiratory Syndrome); Four coronaviruses that cause mild upper respiratory disease, namely HCoV-OC43, HCoV-229E, HCoV-NL63 and HCoV-HKU1. Coronaviruses have caused two large-scale outbreaks (SARS and MERS) in the past two decades. Coronaviruses are considered to be the virus that poses a major threat to humans due to outbreak, moreover, the pathogen that caused the outbreak of COVID-19 is a beta coronavirus.
We need to investigate and analyze the origin, intermediate host, and phylogeny of coronavirus, which is of great significance for epidemiological analysis. Additionally, analysis of the mechanisms involved in the virus infection process, especially the analysis of proteins, can lay a foundation for in vitro diagnosis, antiviral drug development and vaccine development.
With years of experience in data analysis, our scientists can provide the following bioinformatics analysis services:
The analysis of the taxonomic composition of viral communities is significant not only for the new virus identification but also for clinical practice.
In addition to the basic analysis of next generation sequencing data, it also includes in-depth mining of sequencing data, especially some special analysis of the viral genome.
The analysis of primary sequences of viral proteins and host proteins, such as amino acid composition analysis and motif prediction.
Structural prediction of viral proteins and host proteins, such as protein secondary structure prediction and functional domain analysis.
The atomic resolution model of the target protein is constructed according to the amino acid sequence of the virus/host target protein and the experimental 3D structure of the homologous protein.
Evolutionary analysis of viral proteins and host proteins based on gene sequence and protein structure can improve the understanding of virus evolution and the design of antiviral drugs.
The study of the network of virus-host protein-protein interaction is of great significance for revealing the molecular mechanism of viral infection, the development of viral vaccines, and the screening of antiviral drugs.