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Susume's picture
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New paper (preprint) from the Baker lab about successful denovo design of protein binders for covid-19 spike protein: https://www.biorxiv.org/content/10.1101/2020.08.03.234914v1

Also a nice summary and explanation of the paper: https://www.news-medical.net/news/20200804/Picomolar-inhibitors-to-SARS-CoV-2-proteins.aspx

Susume's picture
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Similar results from Neoleukin Therapeutics

NeoLeukin Therapeutics in Seattle (which I think is a Baker lab spin-off company) has a similar preprint out, but entirely different author list - apparently they have been working independently on the same goal and have a different set of binder designs ready to publish.
https://www.biorxiv.org/content/10.1101/2020.08.03.231340v1

Summary and explanation of the Neoleukin paper:
https://www.news-medical.net/news/20200805/De-novo-protein-decoys-that-block-SARS-CoV-2.aspx

georg137's picture
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Are scientists embarrassed by Foldit connection?

The protein twitter feed is quite positive about the pre-print, and very complimentary about Baker Lab. Almost all of the co-authors are associated with the Institute for Protein Design and the Department of Biochemistry at the University of Washington in Seattle, the primary sponsor of Foldit. The paper features several diagrams of many triple alpha helices binding to corona virus spike surfaces. The virus and binder design configuration space appears to be the same space used in the in-silico work-products that Foldit teams and soloists have been designing, refining, and submitting to scientists since the start of the pandemic. Looking at the talent and qualifications of the investigators, and the track record of the Foldit contributor community, it is not mere coincidence that the triple helix strategy should arise spontaneously in their independent explorations. While it may be technically correct not to formally go into the strong similarities to the Foldit COVID-19 binder configurations, the authors may have overlooked an opportunity to bolster their findings by at least mentioning the work of their citizen-science counterparts. They definitely missed an opportunity to align with long-term seasoned Foldit contributors, their locked-in allies in explosively competitive work.

Comments?

Joined: 02/19/2020
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The Same happened with h1n1 Binders

Ask Vakobo about his h1n1 binder that the university of washington mentioned that they too had found using their software but in reverse... Yeah

You just realised that they are stealing your work and calling it their own?

I tried to warn you all about this years ago, but noone thought that would happen.

They have set up a lot of businesses using our work, so now its time for everyone to join together and tell them we now want to share the rewards of our hours and hours of work, rather than have it used by people that did not CREATE the original design. The uni has laws to prevent this from happening with their work, why not ours?

Lets see our designs and theirs and compare them. but they wont ever release that to us, why? arrogance?

Just my personal opinion

bkoep's picture
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Nobody is stealing Foldit players' work

Please stop suggesting that scientists are stealing Foldit players' work.

The last time you brought this up (under a previous user account), I responded with a detailed explanation of collaboration in academic research, but that response was lost when you later demanded that your account be deleted.

bkoep's picture
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Response to georg137

Not at all embarrassed!

The results in both of these preprints are a feat of exceptional effort, and these author lists represent the world's leading experts on protein binder design and coronavirus spike proteins. That is not hyperbole -- there is nobody in the world better qualified to tackle these problems. And some of these scientists have been helping the Foldit team directly, so that we can add their binder design tools to Foldit.

Rest assured that Foldit had absolutely nothing to do with the designs in either paper, and we shouldn't read too far into any supposed similarities. (I believe some of the earliest Baker Lab designs were ordered for testing before the first Foldit puzzle even closed.) The prevalence of 3-helix bundles is not a coincidence; it is well established that helical bundle designs have high success rates, and they are the workhorse of most protein design applications. (The first protein designs in the 1980s and 90s were helical bundles, and the prevalence of helical bundles is clearly evident in modern high-throughput experiments.)

Foldit is not built for binder design (yet!). The Foldit monomer design paper came out only last year. Our original plan was to begin binder design puzzles much later in 2020, once all of the binder metrics and other tools were in place. But when the coronavirus spike structure was released in February, we jumped in with what we had. We've been more than impressed by Foldit players' work and willingness to adapt, as well as your patience while the Foldit team works on improvements.

I also want to stress that this does not mean the Foldit coronavirus binder puzzles have been wasted effort. On the contrary, these puzzles have laid the groundwork for protein binder design in Foldit. We now have a very clear picture of the challenges facing binder design in Foldit, and a solid baseline for future experiments. Scientifically, there is still plenty to be learned about protein binder design, and we look forward to challenging Foldit players with harder targets (there are binder targets out there that even these experts won't touch!).

In short, we should not be discouraged that the world's top minds (working nonstop with virtually unlimited resources) were able to more quickly solve a problem that Foldit is not yet optimized to solve. Stay tuned, we may dig into these preprint results in a future blog post.

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Love the info provided there!

And this also highlights something that I absolutely love about science, which if you'll permit me to kludge the original quote since I can't quite recall it:
"There is no such thing as failure in science..." (or bad data, incorrect results)
"If you've attempted to prove or solve something 500 times before your finally succeeded, you did not fail those initial 500 times, you simply learned 500 ways NOT to accomplish it!"

Granted, this is true about more things in life than just science, but it does ring especially true there. All the times an experiment is run and doesn't yield the expected results (or what have you), that's still data! It's really only a "failure" if you do not look at that data and learn something from it, or use it to improve things to eventually reach your objective. Sometimes to be dis-proven is just as much of an achievement as it is to be proven.

However, even if the conclusion you've come to ends up disproving what your were trying to accomplish... Well? That's still a data point in the grand scheme of it all, and therefore still useful in the end, as it checks off something off on a list somewhere.

TL;DR - All of our results ultimately lead to Foldit getting better, and as such, that means our efforts have not been in vain! :D

jeff101's picture
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Scene from the movie "iOrigins":

https://fold.it/portal/node/2001059
shows a scene from the movie
"iOrigins" reflecting the same idea.

Also, I think "The Cat in the Hat"
had a search strategy in which he'd
mark with an X every spot he'd
already checked.

Joined: 05/09/2008
Groups: None
Full Science pdf
georg137's picture
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IPD is on the cutting edge

IPD is on the cutting edge of anti-virals. Congratulations to LongXing Cao, David Baker, et. al. The results are a COVID breakthrough, and a bioinformatics coup. Well done.

georg137's picture
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More on COVID-19

For those interested in broader COVID aspects, the link below goes to many COVID-19 research papers, articles, preprints, letters and commentaries at the CelPress Coronavirus Resource Hub.

https://www.cell.com/COVID-19

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