Giulio Isacchini (@giulioisacchini) 's Twitter Profile
Giulio Isacchini

@giulioisacchini

Machine Learning Scientist @ Imprint labs deciphering the adaptive immune system, see giulioisac.github.io

ID: 1128114749793660928

calendar_today14-05-2019 01:48:10

64 Tweet

156 Followers

356 Following

Joao Ascensao (@jaascensao) 's Twitter Profile Photo

New preprint on bioRxiv! We investigated the potential for microbial communities to regenerate ecological diversity following species removal, and we found a couple surprises! 🧵👇 biorxiv.org/content/10.110…

Vinod BalachandranMD (@thevinodlab) 's Twitter Profile Photo

1. ENTER #mRNAvaccines for #pancreaticcancer! Long-term #PDAC survivor story PART3. "Do #PDACs REALLY have vaccine neoantigens (NAs)"? (aren’t they lowly mutated?) If each patient = own NAs, how do you vaccinate? Maybe mRNA? But how? nature nature.com/articles/s4158… 👇🏽 [1/32]

PRX Life (@prx_life) 's Twitter Profile Photo

In PRX Life’s debut Perspective, Thierry Mora and Aleksandra Walczak from @LP_ENS_ argue that recent data, controlled experiments, and theory are converging to change our understanding of antibody-viral coevolution. Check it out: go.aps.org/3P42aOO #WeekendReads

In PRX Life’s debut Perspective, Thierry Mora and Aleksandra Walczak from @LP_ENS_ argue that recent data, controlled experiments, and theory are converging to change our understanding of antibody-viral coevolution. 

Check it out: go.aps.org/3P42aOO

#WeekendReads
Sam Sinai (@samsinai) 's Twitter Profile Photo

🧵Excited to share that we Dyno Therapeutics, Inc. have launched our 2nd product Dyno eCap 1, a generative AI designed protein validated extensively in nonhuman primates, as a breakthrough capsid with potential to solve the delivery challenge for variety of eye diseases. products.dynotx.com/ecap1/

Cecilia Clementi (@cecclementi) 's Twitter Profile Photo

I am excited to present this work, result of a 4-year big collaborative project: arxiv.org/abs/2310.18278 #MachineLearning a transferable bottom-up protein force field, trained on force data from over all-atom MD simulations, using physical priors and graph neural networks.🧵⬇️

airr_community (@airr_community) 's Twitter Profile Photo

Excited for another virtual AIRR-C seminar with Sol Efroni and Giulio Isacchini (Sept 26, 1600 CET). antibodysociety.org/the-airr-commu… Direct registration link: us06web.zoom.us/meeting/regist…

Excited for another virtual AIRR-C seminar with <a href="/solefroni/">Sol Efroni</a> and <a href="/giulioisacchini/">Giulio Isacchini</a> (Sept 26, 1600 CET). antibodysociety.org/the-airr-commu… Direct registration link: us06web.zoom.us/meeting/regist…
Gur Yaari (@guryaari) 's Twitter Profile Photo

Check out our new publication: An unbiased comparison of immunoglobulin sequence aligners academic.oup.com/bib/article/25…

Oskar Hallatschek (@ohallats) 's Twitter Profile Photo

After a long and winding odyssey, excited to finally drop anchor in open-access waters. This preprint shows how neutral allele frequency time series can illuminate disease transmission rates between communities— key for epidemic fore- & backcasting. medrxiv.org/content/10.110… 🧵

After a long and winding odyssey, excited to finally drop anchor in open-access waters. This preprint shows how neutral allele frequency time series can illuminate disease transmission rates between communities— key for epidemic fore- &amp; backcasting. medrxiv.org/content/10.110… 🧵
Puneet Rawat, PhD (@puneet021192) 's Twitter Profile Photo

Happy to share our new collaborative work! 🚨 We analyzed 2250 TCR repertoires to uncover how HLA risk alleles shape immune autoreactivity in T1D. T1D-specific HLA-motifs were also validated in sorted pancreatic lymph nodes (pLN) & spleen cohorts. 🧬🧵 #T1D #Immunology #TCR 1/9

Happy to share our new collaborative work! 🚨 We analyzed 2250 TCR repertoires to uncover how HLA risk alleles shape immune autoreactivity in T1D. T1D-specific HLA-motifs were also validated in sorted pancreatic lymph nodes (pLN) &amp; spleen cohorts. 🧬🧵 #T1D #Immunology #TCR 1/9
Dr. Armita Nourmohammad (@thearmita) 's Twitter Profile Photo

check out our new manuscript (led by Gian Marco Visani) structure-based machine learning model for TCR-pMHC complexes, predicting T-cell affinity to peptide-MHC complexes, quantifying T-cell receptor specificity, and designing de-novo immunogenic peptides: arxiv.org/abs/2503.00648

check out our new manuscript (led by <a href="/GMarcoVisani/">Gian Marco Visani</a>)

structure-based machine learning model for TCR-pMHC complexes, predicting T-cell affinity to peptide-MHC complexes, quantifying T-cell receptor specificity, and designing de-novo immunogenic peptides: 
arxiv.org/abs/2503.00648