no.

they did not.

Yeah they did tf

Are you serious?

it is definately man made tho, the HIV genes in it confirms it

not necessarily for bio weapon

HIV genes are used in many labs around the world for specific research

Not the genes but the receptors but whatever

yeah whatever idk the exact lingo

Nvm

THEY GM a coronavirus, a coronavirus.

i have a friend of mine in Uni doing a masters in microbiology

usually you'd use other types of receptors but it depends on the lab

and what availability you have for those things

@fr0shT you are manmade by that standard you prob have some HIV genes in it <:pepelaugh:544857300179877898> man I've posted this so many times but the genetic similarity between hiv and it is like 20%

Italy is going red by the minute
This is most likely to be the same soon elsewhere also

not evidence for jack shit when many viruses use similar protease, proteins, enzymes in order to infect human cells.

they use HIV medicine on virus? wow its almost like its a standard use for testing a newly spreading disease because hiv medicine is fucking antiviral medicine that binds to the receptors and different proteins that the virus uses in order to get into the cell. Signal flags etc.

@ᚠᚢᛖᛚᛖᛞᛒᚣᚳᚨᚿᚳᛖᚱ Credentials?

you want me to doxx myself?

no.

No I don't m

I'm asking why you think you have authority to speak on the matter

What credentials do you have

@ᚠᚢᛖᛚᛖᛞᛒᚣᚳᚨᚿᚳᛖᚱ
Why haven't you been posting more scientific resources here?

@Pinks > https://doi.org/10.1101/2020.02.05.936013 ```
> The World Health Organization (WHO) has declared the 2019 novel coronavirus (2019-nCoV) infection outbreak a global health emergency. Currently, there is no effective anti-2019-nCoV medication. The sequence identity of the 3CL proteases of 2019-nCoV and SARS is 96%, which provides a sound foundation for structural-based drug repositioning (SBDR). Based on a SARS 3CL protease X-ray crystal structure, we construct a 3D homology structure of 2019-nCoV 3CL protease. Based on this structure and existing experimental datasets for SARS 3CL protease inhibitors, we develop an SBDR model based on machine learning and mathematics to screen 1465 drugs in the DrugBank that have been approved by the U.S. Food and Drug Administration (FDA). We found that many FDA approved drugs are potentially highly potent to 2019-nCoV.
>
> 2 Results
> 2.1 Sequence identity analysis
> The sequence identity is defined as the percentage of characters that match exactly between two different sequences. The sequence identities between 2019-nCoV protease and the protease of SARS-CoV, MERS-CoV, HKU-1, OC43, HCoVNL63, 229E, and HIV are 96.1%, 52.0%, 49.0%, 48.4%, 45.2%, 41.9%, and 23.7%, respectively. It is seen that 2019-nCoV protease is very close to SARS-CoV protease, but is distinguished from other proteases. Clearly, 2019-nCoV has a strong genetic relationship with SARS-CoV, the sequence alignment in Figure 1 further confirms their relationship. Additionally, the available experimental data of SARS-CoV protease inhibitors can be used as the training set to generate new inhibitors of 2019-nCoV protease.```

because it is not the right fucking channel

<:smugon:512048583806025739>

Thanks, that's exactly what I mean

@ᚠᚢᛖᛚᛖᛞᛒᚣᚳᚨᚿᚳᛖᚱ
Disagree

Like for two months now

i hate channel rules

Generally they're good

@ᚠᚢᛖᛚᛖᛞᛒᚣᚳᚨᚿᚳᛖᚱ so essentially it's SARS 2.0 more than anything

96.1%

http://virological.org/t/the-proximal-origin-of-sars-cov-2/398 you could just go to professors who regulary do analysis on this virus and highly sophisticated analysis of it.

You can read and see what they write.

Yeah sorry but I don't have time to sift through all the Jargon to pull out any semblance of meaning from things like that.

```To date, the closest described relative to the nCoV-2019 novel coronavirus in a non-human host is a bat SARSr-CoV called RaTG13 (genbank accession MN996532 23, Zhou et al (2020) [1]) sampled from a Rhinolophus affinis bat in Yunnan Province in 2013.

Although this has a 96.1% identity with nCoV-2019, at the rate that coronaviruses evolve, this represents signifiant evolutionary time. This can be estimated using BEAST [3,4] by assuming a rate of evolution. Here I have show estimates for a rate of 1e-3 and 5e-4 substitutions per site per year. The former rate seems to be close to that observed in the human outbreak and the latter closer to rates estimated for some other coronaviruses.``` @Pinks http://virological.org/t/divergence-of-ncov-2019-to-closest-non-human-relative/388

Science niggas need to learn to dumb shit down a lil

true