Infer global, predict local: Quantity-relevance trade-off in protein fitness predictions from sequence data

• Lorenzo Posani ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

  * E-mail: lorenzo.posani@gmail.com (LP); simona.cocco@phys.ens.fr (SC)

  Current address: Center for Theoretical Neuroscience, Columbia University, New York, United States of America

  Affiliation Laboratory of Physics of the Ecole Normale Supérieure, CNRS UMR8023 & PSL Research, Sorbonne Université, Paris, France

  https://orcid.org/0000-0003-1135-1300

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• Francesca Rizzato,

  Roles Data curation, Methodology, Software

  Affiliation Laboratory of Physics of the Ecole Normale Supérieure, CNRS UMR8023 & PSL Research, Sorbonne Université, Paris, France

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• Rémi Monasson ,

  Contributed equally to this work with: Rémi Monasson, Simona Cocco

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Laboratory of Physics of the Ecole Normale Supérieure, CNRS UMR8023 & PSL Research, Sorbonne Université, Paris, France

  https://orcid.org/0000-0002-4459-0204

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• Simona Cocco

  Contributed equally to this work with: Rémi Monasson, Simona Cocco

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: lorenzo.posani@gmail.com (LP); simona.cocco@phys.ens.fr (SC)

  Affiliation Laboratory of Physics of the Ecole Normale Supérieure, CNRS UMR8023 & PSL Research, Sorbonne Université, Paris, France

  https://orcid.org/0000-0002-1852-7789

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