Fraternali Lab
@FraternaliLab
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Bioinformatics & Computational Biology @ University College London @ISMBInstitute @ucl
London, England
Joined March 2018
New paper alert! 🚨
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
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Dongjun & Joseph at #bsi2025 with poster on this! Poster P005
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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.
nature.com
Nature Methods - ImmunoMatch is a machine-learning framework that learns from heavy and light immunoglobulin chains to predict cognate sequence pairings.
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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
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🚨 New preprint on our new approach (IndeLLM) to score pathogenicity of insertions/deletions
biorxiv.org
Protein language models (PLMs) are increasingly used to assess the impact of genetic variation on proteins. By leveraging sequence information alone, PLMs achieve high performance and accuracy and...
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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.
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Joseph on sciCSR to study and infer class switching dynamics in B cells using scRNA-seq data #ISMB2024
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Dongjun's talk on ImmunoMatch a.k.a. antibody "tinder" to study heavy and light chain pairing at 3DSIG! #ISMB2024
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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 🎉👏
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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
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Postdoc available in our lab. B cells, antibodies and class switching. Part of a wider BBSRC sLoLa with @FraternaliLab @Mauri_group
jobs.surrey.ac.uk
Applications are invited for the post of Research Fellow based in the School of Biosciences and Medicine under the supervision of Professor Deborah Dunn-WaltersAn exciting opportunity to join our...
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Well done to Izzy for winning a prize for her presentation on the single cell analysis of B cells in lung cancer!!👏🫁🧬#WIRM
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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
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Xmas outing feat. a walk across Hertfordshire countryside on a cold wintery day followed by pub!
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Very proud to finally see this recent work from my lab out in Nature Methods! Thanks to a fantastic collaborator like @JosefNg1 and an enthusiastic group of Immunologists! https://t.co/YiV83r3Toa
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Very happy that sciCSR - our new method in analysing B cell Class-Switch Recombination (CSR) in #scrnaseq data - is out @naturemethods - Tweetorial below 🧵
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
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