one way around this is to develop platforms which apply to a range of diseases. why reinvent some fancy shape of atoms for each disease? it's entirely possible to develop something which works on cancer and coronavirus. just look at CRISPR, or RNAi ... master delivery and you can simply re-target the therapy toward different sequences.<p>Here (<a href="https://github.com/bionicles/coronavirus" rel="nofollow">https://github.com/bionicles/coronavirus</a>) is code to design CRISPR-Cas13 CARVER (<a href="https://www.sciencedirect.com/science/article/pii/S1097276519306987?via%3Dihub" rel="nofollow">https://www.sciencedirect.com/science/article/pii/S109727651...</a>) 30mer guides against regions of Coronavirus conserved between SARS, MERS, HKU1, and SARS-nCoV-2 (Covid-19 Virus) and not found in highly expressed Lung protein-coding RNA. Uses BioPython, Redis SADD/SISMEMBER, and tools from EMBL (Emboss Consensus and Clustal Omega Alignment) and data from NCBI. The good news is, it's probably possible to delete Coronavirus genome directly inside the lungs, without vaccines; just deliver nanoparticles or adenovirus (doesn't replicate) with an inhaler and express CRISPR-Cas13 and the gRNA using the Surfactant promoter sequence for lung-only expression of the therapy<p>disclaimer: I need to work on the readme and write a blog post, but the data is there and the general core works. There's ~30k guides possible and 226 target 13 longest conserved regions across 4 different outbreaks spanning 17 years of virus evolution (provides reasonable confidence these regions are necessary for the virus to function)<p>If anyone knows some folks in the Pharma / Biotech industry I could use help to run the tests on this, tell em to email bion at bitpharma.com<p>edit: readme improved. currently looking for promoter consensus sequences for lung (surfactant protein TFs like TTF-1)