Ivelin Georgiev, Ph.D.
@IG_lab
Georgiev Lab at Vanderbilt, focusing on computational immunology and vaccine research.
Using #antibody sequence alone, can we predict whether two antibodies target overlapping epitopes? A new suite of algorithms developed by @ClintVaccine: Contrastive Learning Enables Epitope Overlap Predictions for Targeted Antibody Discovery biorxiv.org/content/10.110…
Fantastic panel discussion with the great @y_bromberg, @IG_lab, and Theresa Koehler on the latest advances in #AI for antibiotic discovery and microbiology at @ASMicrobiology #ASMicrobe. Exciting times for science!
SynAbLib: an expandable synthetic library of human paired #antibody sequences. journals.plos.org/ploscompbiol/a…
An ambitious project led by @VUMChealth investigators aims to use #AI technologies to generate antibody therapies against any antigen target of interest. @IG_lab will serve as the project principal investigator. news.vumc.org/2025/03/10/vum…
This work wouldn't have been possible without my PI @IG_lab ; our amazing experimentalist @AlexisJanke ; and the LIBRA-seq data producers Andrea Shiakolas, @IanSetliff, @KelseyPilewski, and @LaurenW_Science Hopefully you'll find our methods and models useful! Models drop soon
🧬My new paper is up on bioRxiv! Contrastive Learning Enables Epitope Overlap Predictions for Targeted Antibody Discovery 📄 doi.org/10.1101/2025.0… @IG_lab #Immunology #MachineLearning #LIBRAseq 🧵1/5
Happy to be part of a disruptive project out of my lab. Essentially #ChatGPTForAntibodies — feed in an antigen sequence and it returns an antibody sequence that has a high probability of binding.
Monoclonal antibodies are crucial in medicine and research, but their discovery is slow, costly, and complex. What if #AI could change this - creating fully human #antibodies, on demand, for a target of interest? The magic is in #MAGE: biorxiv.org/content/10.110…
Generation of antigen-specific paired heavy-light chain antibody sequences using large language models 1. The study introduces MAGE, a groundbreaking protein large language model (LLM) designed to generate antigen-specific paired heavy and light chain antibody sequences,…
This manuscript is now published in Bioinformatics Advances: Optimizing #LIBRAseq #antibody-#antigen specificity assignments Negative Binomial Mixture Model for Identification of Noise in Antibody-Antigen Specificity Predictions from Single-Cell Data academic.oup.com/bioinformatics…
A potently #neutralizing and protective human #antibody with a unique antigenic footprint on #RSV and #hMPV fusion glycoproteins. Collaborative work with @McLellan_Lab @jjmousa @BonamiRachel @croweje @RHCarnahan, and others. biorxiv.org/content/10.110…
This paper is now published in Structure: An exceptionally broad #coronavirus #antibody.
A protective pan-betacoronavirus #antibody that also recognizes zoonotic alpha- and delta- #coronaviruses. Multi-year effort led by Nicole Johnson, Steven Wall, Kevin Kramer, @ClintVaccine, in collab with @McLellan_Lab, Giuseppe Sautto, and many others. biorxiv.org/content/10.110…
Check out this paper on broadly reactive IgG3 antibodies led by Matt Vukovich @IG_lab. Backstory here is that our collaboration was accelerated by Matt's visit to our lab @DukeU under the Duke Center for HIV Structural Biology Trainee Exchange program @DukeHIVStrucBio
IgG3 #antibodies with exceptional breadth of virus cross-reactivity, with no signs of autoreactivity. Work led by Dr. Matt Vukovich, in collaboration with the groups of @PriyamvadaA_Lab, Giuseppe Sautto, @DannySheward, and others. dx.plos.org/10.1371/journa…
IgG3 #antibodies with exceptional breadth of virus cross-reactivity, with no signs of autoreactivity. Work led by Dr. Matt Vukovich, in collaboration with the groups of @PriyamvadaA_Lab, Giuseppe Sautto, @DannySheward, and others. dx.plos.org/10.1371/journa…
This manuscript, now including exciting new analysis that helps define quantifiable thresholds on #antigen-specific #antibody public-ness, is now published in @mbiojournal: journals.asm.org/doi/10.1128/mb…
A large-scale #LIBRAseq atlas of #antibody-#antigen pairs sheds light on important questions underlying the relationship between antibody sequence and antigen specificity, and provides insights into population-level responses. biorxiv.org/content/10.110…
Understanding the fundamental rules of antibody-antigen interactions can lead to transformative new approaches for the development of antibody therapeutics and vaccines against current and emerging viruses. @IGlab @McLellan_Lab @mgordonjoyce journals.asm.org/doi/10.1128/mb…
Our group has multiple #postdoc openings in the area of #antibody discovery and #vaccine design, both for experimental and computational scientists. Please reach out if interested.
The red piece in the image is an antibody that neutralizes multiple HIV-1 strains. It was made in a human. In response to a vaccine. That’s it. That’s the post. Read the paper here: sciencedirect.com/science/articl… @TheDHVI @DukeHIVStrucBio @DHVI_Struc_Bio
Nature creates amazing #antibodies, but finding the right ones for any given target is a huge challenge. This paper presents a small but important proof of concept for using #AI to design human antibodies against #antigens of interest (here, #SARSCoV2). biorxiv.org/content/10.110…