Author

Fabio Airoldi

ORCID 0009-0005-6117-5386Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Carlo FisicaroiD· 2 shared Kamil TamiolaiD· 2 shared Michele InvernizziiD· 2 shared Sandro BottaroiD· 2 shared Albert Chung· 1 shared Benjamin M. J. OwensiD· 1 shared Bowen Jing· 1 shared Bruno TrentiniiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBiophysics

Carlo FisicaroORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintOct 18, 2025

Advancing Protein Ensemble Predictions Across the Order-Disorder Continuum

Michele Invernizzi, Sandro Bottaro, Julian O. Streit…·Kamil Tamiola

The paper introduces a benchmark for evaluating protein ensemble generators across ordered and disordered proteins and presents a new model that improves performance on disordered regions.

10 citations

protein structuredeep learning

𝕏 PostBluesky

BiophysicsbioRxivPreprintJun 15, 2024

Improving Inverse Folding models at Protein Stability Prediction without additional Training or Data

Oliver Dutton, Sandro Bottaro, Michele Invernizzi…·Kamil Tamiola

The paper improves protein stability prediction by modifying existing models with a self-derived term, enhancing their performance without additional training or data.

8 citations

protein sequencedeep learning

𝕏 PostBluesky