Modeling of complexes between EsxA-EsxB and ESX-1 secretion-associated proteins EspB, EspC-EspA, EspF-EspE and EspJ-EspK from Mycobacterium #tuberculosis. #AlphaFold#ColabFold
@AllThingsApx This figure is a bit misleading. The AF3 paper reports a runtime of 352s for the multi-GPU version of AF3, while the released single-GPU version of AF3 has a runtime of 62s for 1024 tokens.
Thrilled to announce Boltz-1, the first open-source and commercially available model to achieve AlphaFold3-level accuracy on biomolecular structure prediction! An exciting collaboration with @jeremyWohlwend, @pas_saro and an amazing team at MIT and Genesis Therapeutics. A thread!
@chembioBryan For natural protein-protein interactions RF2-PPI should work better https://t.co/5pRXcxL53r. In your minibinders the interface is obvious, so knowing the target interface would be helpful. I guess/hope you targeted the active site of DltD 🙃 solving 6PFX structure was fun.
@chembioBryan AF2/AF3 poorly discriminate binders vs. non-binders even for natural proteins using default MSA-generation, especially if there are multiple paralogs for the putative interacting protein pairs.
@chembioBryan This result is not surprising. AF3 uses MSAs to derive co-evolutionary contacts to guide the predictions. For engineered binders - there is no co-evolution signal. Also, AF2/AF3 was not trained to discriminate binders vs. non-binders.
Check out our (@FrankNoeBerlin) new paper where we improve the prediction of protein complexes by 'hacking' AlphaFold-multimer (AFM). Starting from an MSA, we use AFM to update what knowledge to sample from the MSA with gradient descent through the network. (1/2)
Towards the end of the presentation I went down a bit of a rabbit hole trying to demonstrate that AF3 may still be learning to invert the convariance matrix, which is needed to extract the coevolution signal from input multiple sequence alignment (MSA) (1/9).
I am deeply honored to have been selected for this wonderful award. This research would not have been possible without the hard work of my wonderful trainees, lab members, and collaborators. @UKyMIMG#Streptococcus#IDRs
@Matt_Arnold_Bio If you want to convert AlphaPickle to AlphaGreenPickle, i.e. generate pAE plots in standard #AlphaFold green-white colors, modify def plot_PAE in Colab notebook. Add
cmap = https://t.co/dRsjNCFRxo.get_cmap('Greens_r')
and edit
PAE = plt.imshow(self.PAE, cmap=cmap)
🙂
Do you want to be considered for an oral presentation at the Phage Meeting? Register and submit your abstract by June 10th for consideration for a talk! Molecular Genetics of Bacteria and Phages Meeting | Hosted By Wisconsin Union Conference Services https://t.co/vkAMEmsJM2
Had an amazing time at the @TheVFoundation V Summit! Lots of exciting research from new V Scholars, serving on the mentoring panel was fun, and workshops were so helpful! Best part: catching up with @CarolineN_Smith, Director at the V Foundation (but still my lab superstar 🤗)
The skin epidermis is populated with Langerhans cells. In this preprint, we provide initial proof of concept that LC may fuel the inflammatory cycle by connecting Staph aureus to T cell activation. Collaboration with @FemkevanWijk1 https://t.co/ymZzzKAnGq