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Is it possible to predict how proteins coded from mRNA will be cleaved?

The reason I was interested in this is because I did some initial work to translate the raw Coronavirus RNA sequences, which you can see here: https://github.com/imranq/coronavirus. The background section below has more information on my approach.

With the "naive" approach to translate coronavirus RNA, using AUG as the start codon, I am able to identify 7 out of 24 proteins from Zhang lab sequences. However, I also did some string matching between my amino acid sequences and the Zhang lab final amino acid sequences. After doing that comparison, I see I have 21 out of 24 protein sequences coded in uncleaved protein sequences.

It would be nice to get to the final 24 proteins straight from the mRNA strand. Please help. Thanks!

Background

Here is the series of steps I used to convert coronavirus RNA into proteins.

1. The raw RNA sequences are here (sourced from the NIH):
https://github.com/imranq/coronavirus/blob/main/data/rawrna.json

2. The script to translate the RNA is here (assumes AUG is the start
codon):
https://github.com/imranq/coronavirus/blob/main/scripts/translate.js

The translated protein sequences are here:
https://github.com/imranq/coronavirus/blob/main/data/processed/translatedProteins.json

3. The script used to generate a comparison between the translated
proteins and the known protein sequences is here (using levenshtein
distance as our difference metric):
https://github.com/imranq/coronavirus/blob/main/scripts/compareTranslated.js

The data generated from that script is here
https://github.com/imranq/coronavirus/blob/main/data/processed/translatedComparison.json

4. Then we detect cleavage in proteins by running a sliding window
across RNA segments between the known and translated proteins. The
script to do so is here:
https://github.com/imranq/coronavirus/blob/main/scripts/detectCleavage.js

4. Finally we merge the datasets we generated from translation and
protein complexes into one dataset, translated proteins and protein
complexes matched to known proteins. 

The data generated from this algorithm is located here
https://github.com/imranq/coronavirus/blob/main/data/processed/mergedProteins.json

At the end of this pipeline, we get 21 out of the 24 proteins matched straight from RNA.

References:

Here are the papers / articles I researched to answer this question

Turning Genome Data into Proteins

Khan Academy Genetic Code: https://www.khanacademy.org/science/ap-biology/gene-expression-and-regulation/translation/a/the-genetic-code-discovery-and-properties

Zhan Lab - SARS CoV 2 - Nucleotide, Coding Region, and Protein sequences https://zhanglab.ccmb.med.umich.edu/COVID-19/

More in the readme here: https://github.com/imranq/coronavirus/blob/main/README.MD

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    $\begingroup$ Your question is very broad, and a bit unclear. Yes, the recognition sites of many proteases are known, so it is possible to predict where a particular one may cleave a protein substrate. Some searching in PubMed and Google Scholar should be informative in that regard. But I'm not sure what, if anything, you're expecting us to do from there. $\endgroup$
    – MattDMo
    Commented Jan 7, 2021 at 14:59
  • $\begingroup$ Thank you Matt. I guess I was looking for any research ideas that could help understand rna to protein better. It seems like it’s a harder problem than I thought and warrants further research. $\endgroup$
    – Imran Q
    Commented Jan 8, 2021 at 3:22
  • $\begingroup$ The cleavage site of the PLpro is obvious from ncbi.nlm.nih.gov/nuccore/NC_045512.2, it is L(N/K)GG. For the 3CLpro it is more complicated and a paper says it is (small amino acid)-X-(L/F/M)-Q↓(G/A/S)-X. Also you need to implement the ribosomal frameshift and detect the correct start codon from the secondary structures. This is solely for ORF1ab. $\endgroup$
    – reuns
    Commented Jan 18, 2021 at 0:25
  • $\begingroup$ Thank you that is helpful. I'm not sure what the notation " L(N/K)GG" means however. Also what is a ribosomal frameshift? I thought the start codon was largely the same across mRNA. $\endgroup$
    – Imran Q
    Commented Jan 24, 2021 at 18:35

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