Help COVID-19 / 2019-NCOV Research through folding@home or BOINC

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Following the release of COVID-19 Coronavirus Protease structure by the Worldwide Protein Data Bank Foundation, Folding@home and Rosetta@home are joining researchers to combat this new pathogen. While many of us can’t be actively involved, our community has plenty of computing power to lend a hand. Through distributed computing, we can put our idling computers to work.

crystal structure of COVID-19 (2019-nCoV)

I currently have several computers (including eGPU setups) running Folding@home and Rosetta@home. Please visit this link to download Folding@home. Once the installation completes, your computer can start contributing anonymously. If you would like to join our eGPU.io community team, the team number is 235996. If you register for passkey with your Identity, the Points Per Day increase significantly. To download Rosetta@home, download the BOINC client at the following link. After the installation, you can choose Rosetta@home project under “Biology and Medicine” category in BOINC Manager.

Triple Radeon eGPUs FAH Advanced Control

RX 580 + RX 5600 XT + RX 5700 XT eGPUs Folding@home Radeon Performance Monitoring

March 12th Update: Folding@home provided an update with the project numbers and what they do. Also to note is that they are GPU optimized so using our eGPUs for these projects is an excellent match. It would be great to know how we can configure our systems to specifically work on them. Here’s a quick summary:

  • 11741: Coronavirus SARS-CoV-2 (COVID-19 causing virus) receptor binding domain in complex with human receptor ACE2. atoms: 165550, credit: 15396
  • 11742: Coronavirus SARS-CoV-2 (COVID-19 causing virus) protease in complex with an inhibitor. atoms: 62227, credit: 9405
  • 11743: Coronavirus SARS-CoV-2 (COVID-19 causing virus) protease – potential drug target. atoms: 62180, credit: 9405
  • 11744: Coronavirus SARS-CoV (SARS causing virus) receptor binding domain trapped by a SARS-CoV S230 antibody. atoms: 109578, credit: 7608
  • 11745: Coronavirus SARS-CoV (SARS causing virus) receptor binding domain mutated to the SARS-CoV-2 (COVID-19 causing virus) trapped by a SARS-CoV S230 antibody. atoms: 110370, credit: 7685
  • 11746: Coronavirus SARS-CoV-2 (COVID-19 causing virus) receptor binding domain in complex with human receptor ACE2 (alternative structure to 11741). atoms: 182699, credit: 16615
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Thanks for bringing this up itsage, it is good work that eGPUs can do. I’ve been running Folding@Home on my egpu for a couple of months now. No issues with slowdowns or overheating as almost all the work is done by the gpu outside the laptop. Unfortunately there isn’t a GPU macOS client, but windows bootcamp or Linux can be made to use the egpu.


My eGPU for it..
Configure -> Slots -> gpu -> Edit -> gpu-index “0”
You need to set “Full” or “Medium” Folding Power, otherwise the GPU will seems idle… @itsage it would be fine to register the ID for egpu.io team!


Joined! 😀 


@itsage, Thanks for sharing! Amazed at myself for not knowing about this already. Have enlisted my PC and Mac to blast away at both. Am using the team ID for Folding@home.



Bookmarked and sharing your page and team number across the internet. Hope it helps 🙂

xkendy Kendy

Hello to all,
I run FoldingAtHome, it’s work. But I will compute Covid tasks. How can I set Project 11737 (or similar to Covid) ?
I try set team number 235996 or 2359960, but allways start with different projects, actually: 14314. 14314 seems not be a Covid project.
Can somebody help me to set my FAH client to compute Covid projects ?

My config

<!– Folding Slot Configuration –>
<gpu v=’false’/>
<!– Slot Control –>
<power v=’full’/>
<!– User Information –>
<team v=’235996’/>
<user v=’Kendy-b’/>
<!– Folding Slots –>
<slot id=’0′ type=’CPU’/>



, same behavior! I paused it because is not clear which project you are helping…. unfortunately it seems that the client is very limited!


@itsage, Yeah, I wanted to specifically contribute to COVID-19 research first. I don’t mind lending compute for other projects of course, but the former was a motivation.



Here’s a relevant thread from the folding forum, looks like there’s no automated option to get only CoVID-19 work units, but GPUs should get mostly only those jobs since that’s what they’re pushing.
If you get a non-CoVID project (as seen by having a different project number from the ones itsage posted) you can try just removing that slot and re-adding it to get assigned a different project.


@nu_ninja, it’s very difficult to get one of them… 🙁 It gives to me only projects 11748 and 11751…

Got it! 🙂 



@jefniro, I think also projects 11748 and 11751 are COVID-19-related, see links 😉  Italian here joining the eGPU team. After one week stuck at home with the country in complete lockdown, putting my GTX1070 to good use was the least I could do 🙂  Yesterday the servers were pretty overloaded but today I finally got my first Work Unit. Oh and guys, don’t forget: with Folding@Home we can speed up research, but on the other hand let’s also buy it as much time as possible! Wherever you are, as COVID-19 spreads through your country, try to limit movement to the… Read more »


@itsage, it’s amazing!!! Cool!!!


Just joined the team yesterday, though I’ve been running it for the last week. Apart from the occasional idle, my system’s been okay. Does anyone else have “bad gateway” issues when looking at the F@H site?


@BlackJack84 Our souls will fight it, our technology will beat it!! 😉 


We reach 470 Peta Flops. That’s more than twice the 149 petaflops of the best supercomputer in the World!!


Posted by: @jefniro
We reach 470 Peta Flops. That’s more than twice the 149 petaflops of the best supercomputer in the World!!

Now flying past ~768 PFLOPS, i.e. faster than the top 103 supercomputers combined.
So here’s a message to the demogorgon:
We are not locked in here with you.
YOU are locked in here with us.


@BlackJack84, WOW!!!! That’s incredible!! Really incredible! The message is brilliant! 😀 
My problem with F@H was the noise of my eGPU. Now I use MSI Afterburner in order to limit the power usage, so I can give my contribution and keep my hears safe!


New projects added:
Projects 14530-14590
Cause: covid
Coronavirus SARS-CoV-2 (COVID-19 causing virus) protease – potential drug target
These are high-priority **CPU** projects to simulate the main protease of the COVID-19.     At the time of release, this is the latest news report:   https://foldingathome.org/2020/03/10/covid19-update/
Please stay tuned to  https://foldingathome.org/news/  for more current updates.
Source: https://apps.foldingathome.org/project?p=14533


Hi @itsage and thanks for sharing
my client is not seeing my egpu which is otherwise working fine for the system, any suggestions here?

Rasmus Johansson

Anyone else have problems with the F@H client detecting a different card than what they actually have connected? My F@H client says i have connected a HD 8950 but in fact it’s a RX 580 connected på my iMac via TB2.


Been running F@H nightly with the RTX 2080 attached to my MacBook Pro, and the Radeon VII attached to my mini-itx PC.  I’ve found the client gets confused if the GPU changes due to egpu hot plugging, and it wasn’t happy about my RVII being disabled when I use it on the MacBook in bootcamp for its usb peripherals, so I hot unplug the Core v2 before I turn folding on, and pop it into the Ryzen PC.  I’ve also found that if its not working uninstalling and reinstalling can help, and doesn’t take too long. Originally I was using… Read more »


@Ningauble77 Running right behind you with Intel NUC i3 & 2070 GTX gaming box (underclocked to 125W). Whole combo is taking 150W and giving 1.2M PPD, pretty good 🙂 


As of yesterday, these are the updated Folding@home FLOPS stats:


In other words, it now boasts almost 50% more computational power than the whole TOP500 list. 😯
This is unreal, keep them going folks!

Dave Sparks

OK, newbie here. I have been running BOINC for many months, but recently switched from SETI to Rosetta. I Googled and found the eGPU.io team and joined. The thing is … I don’t actually have an eGPU. I’m processing on a Dell laptop and getting maybe a few hundred credits per day. (Every bit helps, right?) What’s an inexpensive upgrade path to be able to help more? My laptop is a Dell Latitude E6430.

If you have a link to this info, I’d appreciate it.