The Savvides lab @InflamResCen and @ugent employs #IntegrativeStructuralBiology to study proteins pivotal to inflammation, immunity and cancer

IRC-VIB, Ghent, Belgium
Joined March 2023
Savvas Savvides Lab retweeted
Improved protein binder design using beta-pairing targeted RFdiffusion 🚀 New preprint from David Baker!🚀 • A breakthrough in protein binder design: this study uses RFdiffusion conditioned to generate binders that form precise beta-strand pairings with polar protein targets, yielding binders with superior affinity and specificity. • The approach focuses on polar regions of target proteins, especially edge beta-strands, addressing the challenge of complementing hydrogen bond donors and acceptors that are otherwise exposed to water. • Designed binders achieved affinities ranging from 76 pM to mid-nanomolar, targeting therapeutically relevant proteins like KIT, PDGFRɑ, and ALK-2, with no significant off-target binding. • A co-crystal structure of a binder in complex with the KIT receptor confirms the computational accuracy of this new design method, showcasing near-perfect matching of the design model and real-world interactions. • This beta-strand focused method not only enhances the range of RFdiffusion’s capabilities but also expands the potential for developing new therapeutic binders targeting polar protein surfaces, such as those in cancer-related pathways. • The new design approach surpasses traditional methods, particularly in targeting polar regions and edge beta-strands in proteins like ALK-2, ALK-3, and PDGFRɑ, where previous techniques failed to generate effective binders. • The study demonstrates that beta-strand pairing conditioned designs have higher thermal stability and are more specific in binding compared to earlier models, making them valuable for therapeutic applications like receptor targeting and drug delivery. @UWproteindesign @SavvidesLab @StevenMBanik @TimothyPJenkins @Green_Ahn @MelBenard86 @kf_verstraete @SusanaVazTor @_JosephWatson @martin_toul 📜Paper: doi.org/10.1101/2024.10.11.6…
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Savvas Savvides Lab retweeted
Read the preprint bit.ly/3QpiUk1 describing a milestone in our de novo antibody design efforts. Our pipeline can now design high-affinity and stable antibodies in a single round! Fantastic collaboration with @lab_serrano @SavvidesLab & Maarten Dewilde @KU_Leuven
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Savvas Savvides Lab retweeted
Happy to share the #preprint on #denovo #antibody design in a single round yielding stable Abs with high affinity: lnkd.in/ew5ATYHy Grateful to be part of great collaboration efforts betwen @VIB_Switch_Lab @KU_Leuven @CRGenomica @InflamResCen @VIBLifeSciences @ugent – at Ghent, Belgium
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Savvas Savvides Lab retweeted
@GoossensLabVIB Bart Ghesquière @jennyrussinova @frbre @lab_marine @RaesLab @jeroenraes @FarrowLab @AgostinisLab @Verstreken_Lab @VanderhaeghenP2 @MancusoRenzo @FendtLab @SavvidesLab @steinaerts @martin_toul @AvilienDard @yongming_luo Kresimir Sola @M4riekeHoekstra Célia Lentini
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Savvas Savvides Lab retweeted
HAPPY 30th BIRTHDAY TO US🎂 First issue of NSMB came out in January 1994. Come celebrate with us 30 years of changes and progress in structural and molecular biology nature.com/nsmb/volumes/31/i… We are continuing celebrations throughout the year with more content, so stay tuned!
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Savvas Savvides Lab retweeted
Given ISOLDE is a model-fitting tool, it was about time I gave it a way to, you know, actually validate the fit of a model to a map. As such, in consultation with Greg Pintille and Tom Goddard I've implemented the Q-Score algorithm (nature.com/articles/s41592-0…) in ChimeraX. (1/2)
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