Author

Chiara Gasbarri

ORCID 0000-0001-9148-5047Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:protein structure prediction· 2 Approach:Bayesian inference· 1 Approach:deep learning· 1 Assay:protein structure· 1

Frequent Co-Authors

Michael G. MülleriD· 2 shared Noah WeberiD· 2 shared Amirtaha Amanzadi· 1 shared Arjun RaoiD· 1 shared Christopher TrummeriD· 1 shared Hosein FooladiiD· 1 shared Michael BrunsteineriD· 1 shared Oliver OraschiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Michael G. MüllerORCID

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2 papers

Recent·Most cited

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

BioinformaticsInternational Journal of Molecular SciencesPeer-reviewedJun 24, 2022

Protein-protein interaction prediction for targeted protein degradation

Oliver Orasch, Noah Weber, Michael G. Müller…·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.

17 citations

protein structuredeep learning

𝕏 PostBluesky