Author

Tin M. Tunjic

TU WienORCID 0000-0001-8842-6548Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Noah WeberiD· 2 shared Aaron WenteleriD· 1 shared Aniketh Janardhan ReddyiD· 1 shared Arjun RaoiD· 1 shared Cameron Smith· 1 shared Cesar Miguel Valdez CordovaiD· 1 shared Chiara GasbarriiD· 1 shared Emily S. W. WongiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersSynthetic Biology

Noah WeberORCID

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2 papers

Recent·Most cited

Synthetic BiologybioRxivPreprintFeb 1, 2024

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

Lucas F. daSilva, Simon Senan, Zain Munir Patel…·Luca Pinello

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

32 citations

humanDNA methylation

𝕏 PostBluesky

BioinformaticsArtificial Intelligence in the Life SciencesPeer-reviewedApr 19, 2023

Bayesian Optimization for Ternary Complex Prediction (BOTCP)

Arjun Rao, Tin M. Tunjic, Michael Brunsteiner…·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.

25 citations

Bayesian inferenceprotein structure prediction

𝕏 PostBluesky