Dear Researches community
A question concerning the current outbreak, recently we attempting to contribute to the study of the Covid19, with a tight submission time ( 4 weeks).
Inquiring help because I'm not a virologist with an insufficient biological background. However, I assume able to do in silico analysis or ( dry lab). Moreover, new sample sequences from local strain will be provided. Assembly and annotation could be done at the first stage. Then perhaps a comparative genome investigation between the old SARS and the Cuvid19.
Furthermore, The virus estimation length that causes all this is only around 29,829 base pairs of RNA. The genome contains at least 10 predicted open reading frames (ORFs): ORF1a, ORF1b, S, 3, 4a, 4b, 5, E, M and N, with sixteen predicted nonstructural proteins being encoded by ORF1a/b. I am wondering if someone can assist by considering a particular section to focus on or a study suggests. Perhaps we can contribute at least 0.001 % to the communities.
I have been reading articles around, and seems are thousand of them every day.
so I have come up with starting list:
- Genome assemblies, annotation
- epitome studies Here you predict the protein sequences based on the genome that will sequence, then there are a number of tools that analyze the immunogenicity of different proteins That can help you identify parts of the COVID-19 proteins that are likely to be detected by the immune system and they, of course, can be targeted by vaccine developers.
- comparison between old saras Vs newCoVID
- The M protein is a good target. It is extremely abundant in the nucleocapsid and is the protein responsible for giving the virus it's the shape, Almost everyone is looking at the S protein, which is justified. But there is not as much focus on the M protein.
Your response is highly appreciated if you could attach the any reference related to the list above.