Author

D. A. M. Pais

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Biology Disciplines

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Biochemistry· 1

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

H. Kaufmann· 1 shared J.-P. A. Mayer· 1 shared K. Felderer· 1 shared M. B. Batalha· 1 shared R. Kumar· 1 shared S. D. Silva· 1 shared S. T. Santos· 1 shared T. Eichner· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperBiochemistry

H. Kaufmann

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1 paper

Recent·Most cited

BiochemistrybioRxivNov 10, 2023

Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors

D. A. M. Pais, J.-P. A. Mayer, K. Felderer…·H. Kaufmann

This paper develops machine learning models to predict the developability of Anticalin proteins using sequence-based descriptors, achieving low prediction errors and validated through cross-validation.

DOI 10.1007/s10822-024-00569-x

protein sequencemachine learning (classical)

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