sciCSR developed by @FraternaliLab, @JosefNg1 and colleagues is a computational workflow that uses scRNA-seq data to predict class switch recombination events and B cell dynamics.
https://t.co/uUWIvey7JJ
Belated announcement that ImmunoMatch has now been published in @naturemethods !🎉 AI powered prediction of antibody heavy-light chain pairing with applications in understanding B cell biology and mAb discovery. https://t.co/QacpKuRBiB
Another preprint @FraternaliLab: We explored how the antibody framework (i.e. parts of variable region away from Ab-Ag interface) can be exploited to fine-tune antibody effector functions. V enjoyable in vitro/in silico collab @ffrancafrat@SophiaKaragiann https://t.co/ZEujIahqjy
Happy to share new work @FraternaliLab led by @Dongjun_Guo - exploring how antibody heavy and light chains form specific pairs. We fine-tuned an antibody language model to predict pairing, and asked how pairing propensities change during B cell maturation and in diseases.
Congratulations to Guillem for winning a prize for his poster on double negative/atypical memory B cells in SARS-CoV-2 mRNA vaccination at the @iit_ucl symposium 2024 🎉👏
We present VCAb, a new web interface for performing different structure-based explorations towards aspects of antibody engineering: 🧵(1/7)
📄https://t.co/qk35islnkH
🌐https://t.co/PUppVtsjuL
Postdoc available in our lab. B cells, antibodies and class switching. Part of a wider BBSRC sLoLa with @FraternaliLab@Mauri_group https://t.co/YkaVogmVwC
Xmas gift 🎁 came early for us: New review came out on @COSB_CRSB where we talked about structures of different antibody isotypes & how to model and study them! Feat. a great deal of fun drawing antibodies in the style of ladders and snakes! Free access at
https://t.co/7BEZGSLo14