@Jimiken_@GuildWars unfortunately yes. from a game master: "do not have the ability to make any in-game changes. This includes item restorations, character restorations, currency refunds, or in-game troubleshooting regarding visual errors." Becareful and avoid this scripted deaths for the next weeks
@weldeiry@RetractionWatch I do not give a fork about your grades, IQ, titles, or citations. Your papers just have a lot of errors. Your arrogant tweet does nothing to correct them. A French professor tried that trick with me, and look where he ended: on the @RetractionWatch leaderboard.
There is a new platform, Sci-Net (https://t.co/SPy41cSJP5) where researchers can help each other by providing paywalled papers. The platform builds upon Sci-Hub meme token $scihub to reward active members.
@vircurator I was setting up anarci in a new env...
Next time I'll check IMGT status before wipping out my working env..
I don't know about related service status
Design of high specificity binders for peptide-MHC-I complexes
🚀 New preprint from David Baker!🚀
• Researchers from @UWproteindesign introduced a novel approach using deep learning tools like RFdiffusion to design specific protein binders for peptide-MHC-I (pMHC) complexes, targeting their peptide component while avoiding extensive interaction with MHC carriers.
• The team successfully identified specific binders for ten diverse pMHC complexes, showcasing high specificity against closely related peptides. These binders maintained structural integrity and were experimentally validated using yeast display and T-cell activation assays.
• For five targets, the designed binders, integrated into chimeric antigen receptors (CARs), triggered robust T-cell activation, demonstrating their potential for therapeutic applications like cancer and viral infections.
• The method’s flexibility allows binder generation from both experimental and predicted pMHC structures, reducing reliance on labor-intensive empirical screening and making it scalable for broad therapeutic use.
• The designs leverage hydrogen bonding and hydrophobic interactions to achieve specificity, with structural adjustments made using computational tools like AlphaFold2 and ProteinMPNN for enhanced binding and stability.
• By integrating binders into CARs, the study addresses the challenge of distinguishing target peptides among thousands presented by MHC, a key hurdle in cell therapy.
• This efficient design pipeline could rapidly expand therapeutic targeting to include rare mutations and diverse HLA alleles, advancing precision medicine.
@TheArmita@GMarcoVisani@AMotmaen@jBonzaniniSci@BingxuL
📜Paper: https://t.co/Ymm5fMuaA2
#proteinDesign #machineLearning #TcellTherapy #peptideMHC
La Commission EU aurait violé les règles de Twitter, le RGPD & le DSA pour « micro-cibler », via des critères politiques & religieux, des tweets promouvant son projet de surveillance des messageries à la recherche de contenus pédosexuels.
@nextinpact :
https://t.co/u2LAxbHqtp
I think this thread should be translated into english, to get international attention on what a scandal this whole Raoult story is in France, and how president Macron protected him. I'll do my best...
https://t.co/fgEQuILP3G
⬇️⬇️⬇️
Phase-separating RNA-binding proteins form heterogeneous distributions of clusters in subsaturated solutions | Proceedings of the National Academy of Sciences https://t.co/LHsHxLihpd