🚨#COVID19 PAPER ALERT🚨
F@h simulations of the #coronavirus Nsp16 protein (1) reveal the structural mechanism of its activation, which ultimately enables the virus to escape our immune system, & (2) detect a ‘cryptic’ pocket to block Nsp16’s action.
biorxiv.org/content/10.110…
For successful infection, #coronaviruses use a protein called Nsp16 that modifies the viral genome so that the virus avoids an immune response. Nsp16 works by binding 2 substrates: RNA (green) and SAM (pink). Viruses and humans contain similar (homologous) proteins.
Unlike other viruses and humans, #coronavirus Nsp16 requires a binding partner (Nsp10) to activate its enzymatic activity. This difference is interesting from a basic science standpoint, and because it could present a way to target the coronavirus selectively with a drug.
First, we wondered, how does Nsp10 activate Nsp16? We analyzed over 1.1 milliseconds of Folding@home simulations of Nsp16 with & without Nsp10 present and found striking structural differences using our recently developed deep learning tool (DiffNets) and Markov state models.
We found that Nsp16’s substrate binding pockets remain closed in the absence of Nsp10, and Nsp10 activates Nsp16 by triggering its substrate binding pockets to open up to accommodate its substrates (nucleic acids and SAM).
Then, we wondered if we could take advantage of this new knowledge about what inactive states look like to inform the development of new antivirals. So, we searched for ways to stabilize Nsp16 when it adopts structural poses with its binding sites closed.
A large number of ‘closed’ inactive structures that Nsp16 adopts also reveal a “cryptic” pocket that could potentially accommodate a small molecule inhibitor (another #FAHPockets!). Our data suggest wedging this cryptic pocket open could stabilize the ‘inactive’ form of Nsp16!
This would likely inactivate Nsp16 and limit the coronavirus’ ability to escape our immune response! Encouragingly, this cryptic pocket doesn’t form in a related human protein, but it does form in #SARSCoV1 & #MERS coronaviruses, suggesting pan-coronavirus antiviral potential.
For more info, check out our latest blogpost summarizing this work – thanks again to all our donors and community for your support in our #COVID19 research! foldingathome.org/2020/12/16/sar…

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More from @foldingathome

29 Jul
🚨🚨NEW BLOG POST🚨🚨
Starting this week, F@h will have weekly “sprints” (GPU projects 134xx) to prioritize compounds to test for the @covid_moonshot! A progress bar on our homepage tracks the progress made each week. Check out our new blog post for more: foldingathome.org/2020/07/28/int…
@covid_moonshot F@h has worked closely with the @covid_moonshot to identify and develop inhibitors against the SARS-CoV-2 main protease (previously featured on #FAHMeetTheProteins). foldingathome.org/2020/05/28/the…
@covid_moonshot So far, over 800 compounds have been designed, synthesized, and tested, and molecules have already been found that inhibit the protease! These are the launchpads for molecular optimization. All the compounds and data can be viewed at: postera.ai/covid/submissi…
Read 8 tweets
30 Jun
🚨#COVID19 PAPER ALERT🚨
With your help, F@h became the first #exascale computer, collected 100,000X more data than a normal paper, learned how the #Demogorgon evades our immune system, and discovered drug targets called ‘cryptic’ pockets (#FAHPockets)!
biorxiv.org/content/10.110…
With over a million people downloading F@h, we reached #exascale computing speed within weeks. This made us >5X faster than the IBM Summit supercomputer, the fastest traditional supercomputer in the world!
This newfound power enabled us to simulate every possible protein from the #SARSCoV2 virus in parallel. Together, we generated the largest dataset of protein dynamics in history. We’ve highlighted some of our exciting findings in this thread:
Read 14 tweets
27 Mar
Let’s talk about how simulating proteins with Folding@home fits into drug discovery and development.

[Thread] 1/11
First: what’s the difference between a vaccine and a drug? 2/11
For viruses, drugs can target proteins to prevent the virus from 1) infecting your cells, 2) replicating inside your cells, or 3) hiding from your immune system. Unfortunately it is not always clear where drugs can bind to a protein. 3/11
Read 11 tweets
24 Mar
Thank you to everyone who asked us questions during last week’s AMA! reddit.com/r/pcmasterrace…

Here are some quick highlights:
First, we want to say a huge thank you to foldingforum.org for providing a ton of support. If you’re new to our community and have a technical question, this is a great spot to look!
If you’re concerned that you don’t currently have a work unit running, rest assured--new ones are on the way.
Read 10 tweets
16 Mar
Thank you to everyone who has been donating their resources! Here are some answers to your frequently asked questions.

How can I donate my time for #COVID19? Download and install the client from foldingathome.org; Under topic, select ‘ANY’ (1/8)

Why has my machine not received any work units (WUs)?

We have been overwhelmed with support and donations, so our servers had to suddenly accommodate a large number of returned WUs. We are working on expanding our memory. Please bear with us as we address this surge.(3/8)
Read 8 tweets

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