Evidence map›Paper›PMID 41251237›Full record

ArticleACS chemical biology2025

Evaluating BindCraft for Generative Design of High-Affinity Peptides.

Mike Filius, Thanasis Patsos, Hugo Minnee, Gianluca Turco, Henrick E Chong, Jingming Liu, Monika Gnatzy, Ramon S M Rooth, Andy C H Liu, Rosa D T Ta and 4 more

Abstract read
In one paragraph

Article in ACS chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. AI-GuidedJournal of the American Chemical Society · 2026
    Article
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Mike FiliusLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Thanasis PatsosLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Hugo MinneeLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Gianluca TurcoLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Henrick E ChongLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Jingming LiuLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Monika GnatzyLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Ramon S M RoothLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Andy C H LiuLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.ORCID 0009-0008-2854-5041
Rosa D T TaLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.ORCID 0009-0005-8545-4320
Isa H A RijkLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Safiya ZianiLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.ORCID 0009-0008-3819-3174
Femke J BoxmanLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.
Sebastian J PomplunLeiden Academic Center for Drug Research, Leiden University, Leiden 2333 CC, The Netherlands.ORCID 0000-0003-0905-8551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

Drug DesignPeptidesBinding SitesHumansIntracellular Signaling Peptides and ProteinsLigandsModels, MolecularProtein BindingProto-Oncogene Proteins c-mdm2Intracellular Signaling Peptides and ProteinsLigandsMDM2 protein, humanPeptidesProto-Oncogene Proteins c-mdm2WDR5 protein, human

Identifiers

PMID41251237
PMCPMC12723675

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Registered trials

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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.