Mikhail Shugay Profile
Mikhail Shugay

@antigenomics

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563

Bioinformatics, immunogenetics, high-throughput immune repertoire sequencing. Decoding adaptive immunity.

3rd Rome
Joined May 2014
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@antigenomics
Mikhail Shugay
22 days
RT @andimscience: Our work on contrastive learning of T cell receptor representations is now out in Cell Systems! Give SCEPTR embeddings…
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@antigenomics
Mikhail Shugay
23 days
@platoff Куча всего: найткорчик / jumpstyle какой-нибудь, фонк всякий)
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@antigenomics
Mikhail Shugay
26 days
RT @Dushek: Our new work! The 3D affinities of the OT-I TCR to foreign and self-antigens predict their 2D affinities and reveal imperfect…
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@antigenomics
Mikhail Shugay
1 month
"Age-Related Dynamics and Spectral Characteristics of the TCRβ Repertoire in Healthy Children: Implications for Immune Aging" in Aging Cell
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@antigenomics
Mikhail Shugay
1 month
RT @mourisl: Great news before starting 2025. TRUST4 is highly recommended in this benchmark evaluating TCR reconstruction method from scRN…
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@antigenomics
Mikhail Shugay
1 month
RT @myphysicsvoyage: Excited to share my final preprint of 2024, “Direct estimates of irreversibility from time series,” with Gianluca Teza…
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@antigenomics
Mikhail Shugay
2 months
RT @amirshanehsaz: We @abscibio are excited to open source the code and datasets for IgDesign, with over 1,000 SPR datapoints against 7 tar…
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@antigenomics
Mikhail Shugay
2 months
RT @andimscience: How to learn generalizable rules across complex sequence-function maps? 💡In our new preprint we propose a framework for l…
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@antigenomics
Mikhail Shugay
2 months
RT @UlrikStervbo: A new paper, led by @kerry_mullan from Pieter Meysman’s (@chevaliersf) group, advocates for a TCR-centric approach to ana…
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@antigenomics
Mikhail Shugay
3 months
@chevaliersf Great job! Based on my experience, I would definitely say that one would need different substitution matrices for contacting vs non-contacting residues and CDR3 center/flanks) Ideally depending on pMHC context.
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@antigenomics
Mikhail Shugay
3 months
RT @GurYaari: Check out our new publication: An unbiased comparison of immunoglobulin sequence aligners
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@antigenomics
Mikhail Shugay
3 months
RT @UlrikStervbo: Statistical analysis of repertoire data demonstrates the influence of microhomology in V(D)J recombination
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@antigenomics
Mikhail Shugay
4 months
@AMikelov Тут одна цель - развести на эмоции. Игнор и шэдоубан это самое страшное наказание) Ты вроде как в преферанс гораздо лучше меня играешь))
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@antigenomics
Mikhail Shugay
4 months
RT @pierce_lab: Happy to share an update to our TCR structure database, TCR3d, now online at @NAR_Open! More structures of TCR complexes, a…
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@antigenomics
Mikhail Shugay
5 months
RT @pogorely: First manuscript from my group! 🐢🐢🐢🐢 @StJudeResearch
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@antigenomics
Mikhail Shugay
7 months
RT @NatComputSci: 📢Out now! Mikhail Shugay and colleagues leverage protein structural data to predict T-cell receptor–peptide interactions…
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@antigenomics
Mikhail Shugay
1 year
@jamimmunology @chevaliersf @CederD @NatMachIntell Sure, access to dex(-) data is critical. What is available right now is cluster multi-dextramer single cell based on tag expressions and select specific clusters that are far apart. Yet the real accuracy of such staining is not studied enough when it comes to individual clones.
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@antigenomics
Mikhail Shugay
1 year
@jamimmunology @chevaliersf @CederD @NatMachIntell The problem is the lack of data actually, one could maintain a "-" version of VDJdb. Anyways actual "+" set diversity is negligible compared to "-". The only solution right now IMHO is to provide enough evidence like in GO enrichment analysis.
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@antigenomics
Mikhail Shugay
2 years
RT @TcellResearch: Great effort from the team on this study published in Cell today! Hard work pays off - well done everyone 👏🏻 Exciting…
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