Martin Pacesa @MartinPacesa
Structural biologist working on 🖥️ protein design and #CRISPR-Cas systems ✂️🧬 Avid weirdness connoisseur 🎩 Lausanne, Switzerland Joined December 2018-
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Oh nice! @Nature publishes another amazing advertisement for an amazing product masquerading as a scientific publication with no code, no model & a webserver that allows 10 queries at a time from a billion dollar company. But it's "gold" open access folks! Rejoice!
Although it is a very exciting development, it is sad to see that no code will be released, which would not be allowed for academic institutions @Nature. It was clear that weights will not be released (despite being trained purely on public data) but this I did not expect.
Although it is a very exciting development, it is sad to see that no code will be released, which would not be allowed for academic institutions @Nature. It was clear that weights will not be released (despite being trained purely on public data) but this I did not expect.
1/ CryoSPARC v4.5 is here! 🚀 Updates include a new micrograph denoiser, automatic 2D/3D class selection, direct file upload, new orientation diagnostics, improvements to Workflows, 3D classification, motion correction, volume alignment, and more! cryosparc.com/updates
The number of people congratulating this former PI really speaks to how deep the misogyny in academia runs. Scientific contributions should never outweigh the duty to moral and scientific integrity. Second chances shouldn’t be given at the expense of past and future trainees
#PubPeerPearl "who authorised you to scan data, pl. educate, you did not seek my permission before scanning my papers. Stop threatening. your intention seems to threaten people and destabilise workers." pubpeer.com/publications/A…
Today in my PI and I live in different worlds. He wants to look at some protein structures using alphafold and suggests I email David Baker if I have any questions. Sure, I also have some questions about Catholicism, should I email the pope about them?
- Mine millions of CRISPR operons - Finetune a protein language model - Generate active Cas9s, including OpenCRISPR-1, with 182 mutations from the closest nature Cas9 and lower off-target rates than SpCas9 @jeffruffolo @AadyotB @MartinPacesa @alexjmeeske @thisismadani
One of the first projects we took on at @ProfluentBio was designing novel gene editing proteins with language models. This grew into an initiative called OpenCRISPR, and today I’m excited to share that work (including the sequences we designed)! biorxiv.org/content/10.110…
Paper: biorxiv.org/content/10.110… Blog: profluent.bio/blog/editing-t… NYTimes: nytimes.com/2024/04/22/tec… Press Release: businesswire.com/news/home/2024… Access OpenCRISPR-1: forms.gle/zzPFYuesZXZGT5…
The results point to a future where AI precisely designs what is needed to create a range of bespoke cures for disease. There is still much to build to achieve this vision. To spur innovation and democratization, we are freely releasing OpenCRISPR-1. Try it out!
Through our #OpenCRISPR initiative, we are releasing this AI-designed gene editor as an initial open-source release with the goal of democratizing access to innovative gene editing technology. Learn how we can build together at profluent.bio
In the last 3 years, there were almost 160 papers citing this invaluable viral genomic database. Those who maintain it and update it monthly are doing so on a voluntary basis. What happens to this resource when they can't continue? What kind of funding is available for it?
In the last 3 years, there were almost 160 papers citing this invaluable viral genomic database. Those who maintain it and update it monthly are doing so on a voluntary basis. What happens to this resource when they can't continue? What kind of funding is available for it?
The journal club presented today was in computational design of soluble analogues of membrane proteins done by @CasperGoverde, @MartinPacesa et al. from the lab of @befcorreia.
Another game-changing work from @thesteinegger lab for the structural alignment of protein complexes. My lab had been struggling with this for years because no method was efficient enough to run PDB-wide searches. Now, you can go all-vs-all 💪 So happy to have contributed!
Another game-changing work from @thesteinegger lab for the structural alignment of protein complexes. My lab had been struggling with this for years because no method was efficient enough to run PDB-wide searches. Now, you can go all-vs-all 💪 So happy to have contributed!
Foldseek-Multimer is a protein complex aligner that is up to 10,000x times faster than SOTA methods without sacrificing quality, enabling the comparison of billions of complex pairs per day. 1/5 📄 biorxiv.org/content/10.110… 💾 github.com/steineggerlab/… 🌐 search.foldseek.com
Excited to share our latest collaborative work on the "hierarchical determinants of the oxidation-induced mutational landscape in human cells." biorxiv.org/content/10.110… An awesome experience combining powerful cell biology, genomics, and structural biology approaches.
Can I solve a structure using the @idtdna Alt-R CRISPR guides? With high enough resolution one could see the chemical modifications
Our method for molecular linker design with diffusion models (DiffLinker) got published in @NatMachIntell 🥳 nature.com/articles/s4225… Thanks a lot to our amazing coauthors @HannesStaerk Clément Vignac @rneschneuing @vgsatorras @pafrossard @wellingmax @mmbronstein @befcorreia
Sergey Ovchinnikov @sokrypton
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87 Followers 385 Following PhD from @Dr_KrishanGopal @CSIR_IMTECH Postdoc @Vecchiology @Jacobs_Med_UB@arneelof They still have 4 blocks that uses an MSA (which has and outer-product-mean, which is essentially computing a covariance matrix). My guess is that they found you didn't need 48 blocks processing the MSA, 4 was enough to extract coevolution signal, the rest can work on single rep
These two quotes are at odds with each other: “It’s going to democratize structural-biology research" and “We have to strike a balance between making sure that this is accessible and ... not compromising Isomorphic’s ability to pursue commercial drug discovery" 🧐🤔
The latest version of AlphaFold models how proteins interact with other molecules — but DeepMind restricts access to the tool go.nature.com/4dsMcYP
@klausenhauser Unfortunately, many papers have online servers without disclosing the code running them. In most cases, the servers are dead after 5 years, and the paper is completely irrelevant.
@DawidZyla This would’ve not be allowed if they weren’t a massive giant like Google
AlphaFold3 is insane. MutS protein (green) recognizes base mismatches in DNA (gray), after which it slides off to find MutL matchmaker protein (blue), which positions and activates MutH nuclease (pink) to nick a hemimethylated GATC sequence (red) to activate removal and repair of…
Like this post if you want to know whether AlphaFold3 correctly recapitulated sequence and methyl group binding specificity of MutH, and whether I should use my last job today for adding the missing ion 😂
@dr_alphalyrae @anshulkundaje @Nature Nature is a for-profit entity. They also have a policy that requires sharing code as a condition of publication. That policy is selectively applied even when reviewers point it out, which leads to this frustration.
In my review, I made a list of much science that happened bc AlphaFold2 code was released. I suggested that so much science will not happen if AlphaFold3 code is not released (or not with AF3 itself). We've made ~100k models with AF2 code. How could we use a server for all that?
Demis -- I think AlphaFold3 is really exciting. As Reviewer #3, I got great results from the server. I tried hard to get @Nature to urge you to release the code but was unsuccessful. I did not get it for re-review so I don't know if you responded. So why no code? @GoogleDeepMind
Thrilled to announce AlphaFold 3 which can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA. Biology is a complex dynamical system so modeling interactions is crucial blog.google/technology/ai/…
Four jobs more and I go check what kids are doing upstairs
AlphaFold3 is out with improvements on structural models that include DNA/RNA and small molecules. Unfortunately, there is no code, no binary to run at scale and only a limited webserver. Why even publish? nature.com/articles/s4158…
Sad that code is not released but I am testing the server and it is not bad and super fast (7 minutes for 1700 residues of a protein-RNA complex).
Thrilled to announce AlphaFold 3 which can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA. Biology is a complex dynamical system so modeling interactions is crucial blog.google/technology/ai/…
Don’t forget that most important part…it was built using public data 🥲
Oh nice! @Nature publishes another amazing advertisement for an amazing product masquerading as a scientific publication with no code, no model & a webserver that allows 10 queries at a time from a billion dollar company. But it's "gold" open access folks! Rejoice!
I think the license of PDB should be changed, structural biologists deposit structures for free but have to pay to use the AI models that were trained on our data..
Although it is a very exciting development, it is sad to see that no code will be released, which would not be allowed for academic institutions @Nature. It was clear that weights will not be released (despite being trained purely on public data) but this I did not expect.
No weights = no actual usage. I hope they will release the weights and code so the in silico revolution can continue. Otherwise, it's just another paper without code.
AlphaFold3 launched today, now with prediction capabilities for RNA, DNA, ligands, and PTMs. Results look great. However, it feels more like a marketing strategy-no code shared, using the biosecurity excuse. Hoping for an open-source version soon. Looking at you @MoAlQuraishi :)
@thesteinegger @MoAlQuraishi Crazy to think that in the old days, some papers were legally mandated to call themselves advertisements, and yet here there's no such requirement
Academics need to pay for access, generate data for a private company to make billions and we get stuck using their server. Public money making rich people richer
Although it is a very exciting development, it is sad to see that no code will be released, which would not be allowed for academic institutions @Nature. It was clear that weights will not be released (despite being trained purely on public data) but this I did not expect.
I’ve been all day eagerly waiting to predict a few ligand binding poses with Alphafold3 but only a few ligands are available 😢 github.com/google-deepmin… Still amazing to see what they’re capable of 🤯and confirms the suspicions that AF3 would use diffusion
Oh I have made a big mistake. It is 10 searches per day, not even at a time. Thank you thank you billion dollar company overlords!
Oh nice! @Nature publishes another amazing advertisement for an amazing product masquerading as a scientific publication with no code, no model & a webserver that allows 10 queries at a time from a billion dollar company. But it's "gold" open access folks! Rejoice!