Author

Y. Westermaier

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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Biochemistry· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1 Approach:simulation· 1

Frequent Co-Authors

A. B. Frost· 1 shared A. Ciulli· 1 shared A. Hospital· 1 shared A. Kombara· 1 shared A. Stingu· 1 shared A. Surinach· 1 shared C. Kofink· 1 shared C. Whitworth· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCancer Biology

A. B. Frost

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2 papers

Recent·Most cited

Confounding factors in targeted degradation of short-lived proteins

V. Vetma, L. C. Perez, J. Elias, A. Stingu, A. Kombara, T. Gmaschitz, N. Braun, T. Ciftci, G. Dahmann, E. Diers, T. Gerstberger, P. Greb, G. Kidd, C. Kofink, I. Puoti, , M. Koegl

This study shows that the natural half-life of a target protein significantly affects degradation by degrader agents and highlights confounding factors in screening for protein degraders.

bioRxiv · Feb 19, 2024Cancer Biology

Prediction Of The Impact Of Genetic Variability On Drug Sensitivity For Clinically Relevant EGFR Mutations

A. Surinach, A. Hospital, Y. Westermaier, L. Jorda, S. Orozco-Ruiz, D. Beltran, F. Colizzi, P. Andrio, R. Soliva, M. Municoy, J. L. Gelpi, M. Orozco

The paper evaluates in silico methods to predict the impact of EGFR mutations on drug sensitivity, finding that high-level simulations provide better predictive power than sequence-based approaches.

bioRxiv · Apr 25, 2022 · PreprintBiochemistry