ArticleProtein science : a publication of the Protein Society2026
SegDesign: A modular framework for controllable protein segment engineering.
Article in Protein science : a publication of the Protein Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- SegDesign: A modular framework for controllable protein segment engineering.Protein science : a publication of the Protein Society · 2026Article
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Authors and funding
7 authors.
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Abstract
Local protein structure engineering, such as targeted remodeling of loops or flexible regions, is critical for mechanistic studies and protein optimization but remains challenging to perform in a controllable and reproducible manner. Despite advances in protein foundation models and generative structure design, most existing methods emphasize global scaffold generation and offer limited support for precise, region-specific intervention while preserving the overall fold. Here we present SegDesign, a modular framework for segment-level protein engineering that integrates backbone reconstruction, sequence redesign, and multi-stage structural evaluation into a unified workflow. SegDesign enables user-defined secondary-structure manipulation of selected regions and produces traceable, experimentally testable variant panels. Applied to Gallus gallus terminal deoxynucleotidyl transferase (GgTdT), SegDesign converts an intrinsically flexible loop into either a stable α-helix or β-strand without disrupting the global fold, as supported by AlphaFold3 modeling. Applications to six additional enzymes further demonstrate the generality of the approach. SegDesign establishes an accessible paradigm for controllable local protein structure engineering in both mechanistic and applied settings. The standalone implementation of SegDesign is publicly available at https://github.com/mike114b/Segdesign.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.