The Journal of biological chemistry · 2026

"EXPERT" A Practical and Forward-Looking Guide to Capturing Protein Expression and Purification Metadata to develop Machine Learning Models.

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Cooper Christopher D O, Tankhilevich Evgeny, Remans Kim, El Marjou Ahmed, Edwards Aled M, Leach Andrew, Quigley Andrew, Schutz Anja, Zemella Anne, de Marco Ario, Sivertsson Åsa, Borgonovo Barbara, Kemp Ben, Voldborg Bjørn, Carolis Carlo, Mitchell Carter, Wickstrand Cecilia, Owen Dafydd R, Drechsel David, Jones David, Oyarzún Diego A, Esposito Dominic, Geertsma Eric, Krupinska Ewa, Bernhard Frank, Ferreira-da-Silva Frederico, Tegel Hanna, Hunt Ian, Berger Imre, Love James, Dohnalek Jan, Thies Jelena, Basquin Jerome, Coker Jesse, Buyel Johannes, van den Heuvel Joop, Haustraete Jurgen, Dürr Katharina L, Lau Kelvin, Hedfalk Kristina, Bozovicar Kristof, Liu Lihua, Bamber Lisa, Scietti Luigi Angelo, Bäckström Malin, Schubert Maren, Elvin Mark, Pelosse Martin, Todd Matthew, Schapira Matthieu, Alblova Miroslava, Berrow Nicholas S, Marinchev Dobrev Nikolay, Brodsky Oleg, Vaněk Ondřej, Gileadi Opher, Dossang Pam, Storici Paola, Celie Patrick, Wan Paul, Loppnau Peter A, Harding Rachel, Owens Ray, Vincentelli Renaud, Altman Richard, Davies Rick, Meijers Rob, Kim Robbert, Saxl Ruth, Suppmann Sabine, Velankar Sameer, Pasqualato Sebastiano, Cuesta Sergio Martinez, Petres Stephane, Harborne Steven, Witt Susanne, Kjaer Svend, Unger Tamar, Craig Timothy, Danieli Tsafi, Sarkans Ugis, Knecht Wolfgang, Kuttenlochner Wolfgang, Peleg Yoav, Schiavone Lovisa Holmberg, Burgess-Brown Nicola A

Аннотация

As machine learning (ML) becomes increasingly important in protein engineering, synthetic biology, and bioprocess optimisation, the lack of consistent, complete, and standardised experimental reporting remains a major barrier to building effective models. EXPERT (EXpression and Purification Experimental Reporting Template) defines a structured framework for capturing protein expression and purification data across the community, to increase reproducibility across laboratories and support downstream ML applications. We propose here the essential data that should be recorded during expression and purification workflows by both novice and experienced protein production scientists. Its recommendations are informed by expert contributions from across academia and industry. The reporting requirements were distilled to a focused set of parameters deemed sufficient for workflow reproducibility and constructing robust ML models aimed at improving protein production. By deploying these guidelines, we hope to enable the collection of larger data sets to support future model building.

"EXPERT" A Practical and Forward-Looking Guide to Capturing Protein Expression and Purification Metadata to develop Machine Learning Models.

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Аннотация