Author

Hannah B. Catterall

Amgen (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Ameya HarmalkariD· 1 shared Anja Hoenig· 1 shared Austin J. RiceiD· 1 shared Christine Elaine TinbergiD· 1 shared Danqing LiiD· 1 shared Doris Rau· 1 shared Eva Sienz-Widmann· 1 shared Jeffrey J. GrayiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ameya HarmalkarORCID

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1 paper

Recent·Most cited

Towards generalizable prediction of antibody thermostability using machine learning on sequence and structure features

Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, Jonas Honer, Wibke Deisting, Jonas Anlahr, Anja Hoenig, Julia Czwikla, Eva Sienz-Widmann, Doris Rau, Austin J. Rice, Timothy P. Riley, Danqing Li, Hannah B. Catterall, Christine Elaine Tinberg, , Kathy Y. Wei

This paper develops machine learning models to predict antibody thermostability using sequence and structure features, showing better generalization with a CNN over pre-trained language models.

mAbs · Jan 22, 2023Peer-reviewedBioinformatics