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Evaluating BindCraft for Generative Design of High-Affinity Peptides

ACS Chemical Biology, vol. 20, pp. 2991–2998

Abstract

High Resolution Image Download MS PowerPoint Slide Discovering high-affinity ligands directly from protein structures remains a key challenge in drug discovery. BindCraft is a structure-guided generative modeling platform able to de novo design miniproteins with a high affinity for a large set of targets. While miniproteins are valuable research tools, short peptides offer substantially greater therapeutic potential. However, given their lack of stabilized tertiary structures, de novo generation of functional peptides is a remarkable challenge. Here, we show that BindCraft is able to generate high affinity peptides, solely based on target structure, with remarkable success rates. For the oncoprotein MDM2, BindCraft generated 70 unique peptides; 15 were synthesized, and 7 showed specific binding with nanomolar affinities. Competition assays confirmed site-specific binding for the intended target site. For another oncology target, WDR5, six out of nine candidates bound the MYC binding WBM site with submicromolar affinity. Bindcraft’s high fidelity structure prediction enabled one shot peptide optimization via rational chemical modification, improving the potency of one WDR5 binder by 6-fold to a K D of 39 nM. BindCraft also generated candidate peptides for targeting PD-1 and PD-L1. However, none of the tested peptides showed detectable binding. Together, these results establish a first evaluation of BindCraft for peptide binder prediction. Despite remaining limitations, this tool shows the potential to rival display technologies in delivering high-affinity ligands for therapeutic development.

Authors 11

  1. Mike Filius Aachen

    Leiden University · Oncode Institute

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

    Oncode Institute

  2. Leiden University · Oncode Institute

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

    Oncode Institute

  3. Hugo Minnee Aachen

    Leiden University · Oncode Institute

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

    Oncode Institute

  4. Jingming Liu Aachen

    Leiden University · Oncode Institute

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

    Oncode Institute

  5. Leiden University · Oncode Institute

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

    Oncode Institute

  6. Leiden University

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

  7. Alvin Liu Aachen

    Leiden University

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

  8. Rosa D. T. Ta Aachen

    Leiden University

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

  9. Leiden University

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

  10. Safiya Ziani Aachen

    Leiden University

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

  11. Sebastian J. Pomplun corresponding Aachen

    Leiden University · Oncode Institute

    Affiliation as printed

    Leiden Academic Center for Drug Research

    Leiden University

    Oncode Institute

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References 33