Author

Alexander Zaitzeff

ORCID 0000-0001-9731-1873Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:protein sequence· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Jedediah M. SingeriD· 2 shared Francis C. MottaiD· 1 shared Jennifer A. Csicsery-RonayiD· 1 shared Nicholas Leiby· 1 shared Steven B. HaaseiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Jedediah M. SingerORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 14, 2022

Comparison and evaluation of data-driven protein stability prediction models

Jennifer A. Csicsery-Ronay, Alexander Zaitzeff, Jedediah M. Singer

The paper evaluates data-driven protein stability prediction models using a new dataset of synthetic proteins, finding that large embedding models perform best.

4 citations

protein sequencemachine learning (classical)

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedAug 18, 2021

Improved data sets and evaluation methods for the automatic prediction of DNA-binding proteins

Alexander Zaitzeff, Nicholas Leiby, Francis C. Motta…·Jedediah M. Singer

The paper introduces improved datasets and evaluation methods for DNA-binding protein prediction, showing that a gradient boosting model and a BLAST-based baseline outperform previous methods.

7 citations

protein sequencestatistical model

𝕏 PostBluesky