Author

Claudia Millán

University of CambridgeORCID 0000-0002-9283-2220Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Randy J. ReadiD· 2 shared Adam J. SimpkiniD· 1 shared Airlie J. McCoyiD· 1 shared Alberdina Aike van DijkiD· 1 shared Ana Cristina EbrechtiD· 1 shared Andrei N. LupasiD· 1 shared Andria V. RodriguesiD· 1 shared Andy M. DeGiovanni· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Randy J. ReadORCID

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2 papers

Recent·Most cited

BioinformaticsProteins Structure Function and BioinformaticsPeer-reviewedAug 12, 2021

Assessing the utility of CASP14 models for molecular replacement

Claudia Millán, Ronan M. Keegan, Joana Pereira…·Randy J. Read

This paper evaluates CASP14 models for molecular replacement using a new metric, reLLG, which is independent of diffraction data and shows AlphaFold2 models outperform others.

62 citationstop 4%

statistical modelbenchmark study

𝕏 PostBluesky

BioinformaticsSciencePeer-reviewedJul 15, 2021

Accurate prediction of protein structures and interactions using a 3-track network

Minkyung Baek, Frank DiMaio, Ivan V. Anishchenko…·David A. Baker

The paper introduces a 3-track network for accurate protein structure and interaction prediction, achieving performance close to DeepMind's CASP14 results and enabling rapid modeling of protein complexes from sequence data.

5,503 citationstop 1%

protein structuredeep learning

𝕏 PostBluesky