Author

Noah Weber

TU WienORCID 0000-0001-7101-0669Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein structure prediction· 2 Approach:Bayesian inference· 1 Assay:ChIP-seq· 1 Approach:diffusion model· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Chiara GasbarriiD· 2 shared Michael G. MülleriD· 2 shared Tin M. TunjiciD· 2 shared Aaron WenteleriD· 1 shared Amirtaha Amanzadi· 1 shared Aniketh Janardhan ReddyiD· 1 shared Arjun RaoiD· 1 shared Cameron Smith· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Chiara GasbarriORCID

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Author profile →

3 papers

Recent·Most cited

DNA-Diffusion: Leveraging Generative Models for Controlling Chromatin Accessibility and Gene Expression via Synthetic Regulatory Elements

Lucas F. daSilva, Simon Senan, Zain Munir Patel, Aniketh Janardhan Reddy, Sameer Gabbita, Zach Nussbaum, Cesar Miguel Valdez Cordova, Aaron Wenteler, Noah Weber, Tin M. Tunjic, Talha Ahmad Khan, Zelun Li, Cameron Smith, Matei Bejan, Lithin Karmel Louis, , Luca Pinello

DNA-Diffusion uses diffusion models to generate cell type-specific regulatory DNA sequences that modulate chromatin accessibility and gene expression.

bioRxiv · Feb 1, 2024 · PreprintSynthetic Biology

Bayesian Optimization for Ternary Complex Prediction (BOTCP)

Arjun Rao, Tin M. Tunjic, Michael Brunsteiner, Michael G. Müller, Hosein Fooladi, Chiara Gasbarri, Noah Weber

The paper introduces a Bayesian optimization method for predicting PROTAC-mediated ternary complex structures and demonstrates its effectiveness in ranking near-native poses.

Artificial Intelligence in the Life Sciences · Apr 19, 2023Peer-reviewedBioinformatics

Protein-protein interaction prediction for targeted protein degradation

Oliver Orasch, Noah Weber, Michael G. Müller, Amirtaha Amanzadi, Chiara Gasbarri, Christopher Trummer

This paper introduces a deep learning model for predicting protein-protein interactions relevant to targeted protein degradation, showing high accuracy on ternary complex data.

International Journal of Molecular Sciences · Jun 24, 2022Peer-reviewedBioinformatics