Author

Alisia Fadini

University of CambridgeORCID 0000-0001-5246-9124Unclaimed 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 Assay:protein structure· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Airlie J. McCoyiD· 1 shared Amir R. Khan· 1 shared Doeke R. HekstraiD· 1 shared Eve NapieriD· 1 shared Hiroki OkumuraiD· 1 shared Jasper J. van ThoriD· 1 shared Luca JovineiD· 1 shared Minhuan LiiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiophysics

Airlie J. McCoyORCID

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2 papers

Recent·Most cited

BiophysicsNature MethodsPeer-reviewedApr 1, 2026

✦ In-depth digest

AlphaFold as a Prior: Experimental StructureDetermination Conditioned on a Pretrained Neural Network

Alisia Fadini, Minhuan Li, Airlie J. McCoy…·Mohammed AlQuraishi

ROCKET refines AlphaFold2 predictions against crystallographic, cryo-EM and cryo-ET data by gradient descent on MSA cluster profiles, capturing loop flips and domain shifts without retraining.

22 citationstop 1%

humanE. coli

𝕏 PostBluesky

BiophysicsbioRxivPreprintNov 6, 2024

Denoising Reveals Low-Occupancy Populations in Protein Crystals

Alisia Fadini, Virginia Apostolopoulou, Thomas J. Lane, Jasper J. van Thor

This paper improves difference map quality in protein crystallography by using negentropy and total variation denoising to better detect low-occupancy states.

DOI 10.1101/2024.11.06.622276

protein structuredeep learning

𝕏 PostBluesky