Author

Andrea Y. Weiße

Hammersmith HospitalORCID 0000-0001-7786-8252Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Andrea Y. Weiße1 paper

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:simulation· 1

Frequent Co-Authors

Alžbeta KubincováiD· 1 shared Antonia S. J. S. MeyiD· 1 shared Diego A. OyarzúniD· 1 shared Evangelos-Marios NikoladosiD· 1 shared Francesca CeroniiD· 1 shared Guillaume Terradot· 1 shared Philipp ThomasiD· 1 shared Rohan GorantlaiD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 9 mutual co-author links

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1 shared paperBioinformatics

Alžbeta KubincováORCID

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3 papers

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedNov 20, 2023

From Proteins to Ligands: Decoding Deep Learning Methods for Binding Affinity Prediction

Rohan Gorantla, Alžbeta Kubincová, Andrea Y. Weiße, Antonia S. J. S. Mey

The paper evaluates deep learning methods for predicting protein-ligand binding affinity by analyzing the impact of different encodings for proteins and ligands.

24 citations

proteomicsdeep learning

𝕏 PostBluesky

Synthetic BiologyACS Synthetic BiologyPeer-reviewedMay 22, 2019

Growth defects and loss-of-function in synthetic gene circuits

Evangelos-Marios Nikolados, Andrea Y. Weiße, Francesca Ceroni, Diego A. Oyarzún

The paper models how synthetic gene circuits affect bacterial growth and shows that cellular capacity limits circuit function.

80 citations

bacteria (other)statistical model

𝕏 PostBluesky

Systems BiologyNature CommunicationsPeer-reviewedOct 24, 2018

Stochasticity of cellular growth: sources, propagation and consequences

Philipp Thomas, Guillaume Terradot, Vincent Danos A, Andrea Y. Weiße

The paper develops a stochastic model of bacterial cell growth linking gene expression, metabolism, and replication to analyze growth fluctuations and their consequences across nutrient conditions and antibiotic responses.

107 citationstop 5%

bacteria (other)statistical model

𝕏 PostBluesky