<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Pacesa M</submitter><funding>Swiss National Science Foundation</funding><funding>European Research Council</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>483-492</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12507698</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>646(8084)</volume><pubmed_abstract>Protein-protein interactions are at the core of all key biological processes. However, the complexity of the structural features that determine protein-protein interactions makes their design challenging. Here we present BindCraft, an open-source and automated pipeline for de novo protein binder design with experimental success rates of 10-100%. BindCraft leverages the weights of AlphaFold2 (ref. &lt;sup>1&lt;/sup>) to generate binders with nanomolar affinity without the need for high-throughput screening or experimental optimization, even in the absence of known binding sites. We successfully designed binders against a diverse set of challenging targets, including cell-surface receptors, common allergens, de novo designed proteins and multi-domain nucleases, such as CRISPR-Cas9. We showcase the</pubmed_abstract><journal>Nature</journal><pubmed_title>One-shot design of functional protein binders with BindCraft.</pubmed_title><pmcid>PMC12507698</pmcid><funding_grant_id>R35 GM138368</funding_grant_id><funding_grant_id>214936</funding_grant_id><funding_grant_id>DP5 OD026389</funding_grant_id><funding_grant_id>948783</funding_grant_id><pubmed_authors>Yachnin BJ</pubmed_authors><pubmed_authors>Goverde CA</pubmed_authors><pubmed_authors>Schwank G</pubmed_authors><pubmed_authors>Choudhury J</pubmed_authors><pubmed_authors>Gonczy P</pubmed_authors><pubmed_authors>Lindhoud S</pubmed_authors><pubmed_authors>Schellhaas C</pubmed_authors><pubmed_authors>Ghamary KH</pubmed_authors><pubmed_authors>Schmidt J</pubmed_authors><pubmed_authors>Vecchio AJ</pubmed_authors><pubmed_authors>Swarts DC</pubmed_authors><pubmed_authors>Buckley S</pubmed_authors><pubmed_authors>Nickel L</pubmed_authors><pubmed_authors>Georgeon S</pubmed_authors><pubmed_authors>Hatzopoulos GN</pubmed_authors><pubmed_authors>Pacesa M</pubmed_authors><pubmed_authors>Cho Y</pubmed_authors><pubmed_authors>Ovchinnikov S</pubmed_authors><pubmed_authors>Westphal AH</pubmed_authors><pubmed_authors>Schneider BL</pubmed_authors><pubmed_authors>Kapoor S</pubmed_authors><pubmed_authors>Wollacott AM</pubmed_authors><pubmed_authors>Correia BE</pubmed_authors><pubmed_authors>Barendse P</pubmed_authors><pubmed_authors>Kissling L</pubmed_authors><pubmed_authors>Pyatova E</pubmed_authors><pubmed_authors>Alcaraz-Serna A</pubmed_authors><pubmed_authors>Muller YD</pubmed_authors><pubmed_authors>Vinue L</pubmed_authors></additional><is_claimable>false</is_claimable><name>One-shot design of functional protein binders with BindCraft.</name><description>Protein-protein interactions are at the core of all key biological processes. However, the complexity of the structural features that determine protein-protein interactions makes their design challenging. Here we present BindCraft, an open-source and automated pipeline for de novo protein binder design with experimental success rates of 10-100%. BindCraft leverages the weights of AlphaFold2 (ref. &lt;sup>1&lt;/sup>) to generate binders with nanomolar affinity without the need for high-throughput screening or experimental optimization, even in the absence of known binding sites. We successfully designed binders against a diverse set of challenging targets, including cell-surface receptors, common allergens, de novo designed proteins and multi-domain nucleases, such as CRISPR-Cas9. We showcase the</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Oct</publication><modification>2026-06-04T09:20:14.441Z</modification><creation>2026-05-07T03:12:52.784Z</creation></dates><accession>S-EPMC12507698</accession><cross_references><pubmed>40866699</pubmed><doi>10.1038/s41586-025-09429-6</doi></cross_references></HashMap>