VAIRO

Our method provides ways to inform AF predictions with additional and selected prior knowledge.

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AlphaFold structural predictions, approaching experimental accuracy, start from a database search powered by genomics. These sequence-specific data apprehend all potential inter- and intramolecular interactions, encompassing different mechanistic states. Our method improves the resulting models by including prior knowledge, through site-specific variants, predefined alignments and templates. VAIRO allows to rescue weaker interactions to complete the view of molecular assemblies in the architecture of a bacterial surface layer and reveals otherwise inaccessible dynamic states in a pneumococcal multimeric membrane protein complex. Supplementary data containing the cases can be downloaded from here.

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Guiding AlphaFold predictions with experimental knowledge to inform dynamics and interactions with VAIRO. Josep Triviño, Elisabet Jiménez, Christoph Grininger, Iracema Caballero, Ana Medina, Albert Castellví, Giovanna Petrillo, Fernando Govantes, Theo Sagmeister, Martín Alcorlo, Juan A. Hermoso, Massimo D. Sammito, Kay Diederichs, Tea Pavkov-Keller and Isabel Usón.

Protein Science 35(2): e70481 (2026) (doi:10.1002/pro.70481)