Author

Martina Audagnotto

AstraZeneca (Sweden)ORCID 0000-0003-0555-4080Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Christian TyrchaniD· 1 shared Garegin A. PapoianiD· 1 shared Helena KäckiD· 1 shared Johan Ulander· 1 shared Lars TornbergiD· 1 shared Leonardo De MariaiD· 1 shared Werngard CzechtizkyiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Christian TyrchanORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintDec 1, 2021

Protein structure dynamic prediction: a Machine Learning/Molecular Dynamic approach to investigate the protein conformational sampling

Martina Audagnotto, Werngard Czechtizky, Leonardo De Maria…·Johan Ulander

The paper combines deep learning and mechanistic modeling to predict protein conformational ensembles and compares them to experimental MD structures, showing correlations and highlighting areas for improvement in folding and dynamics prediction.

2 citations

protein structuredeep learning

𝕏 PostBluesky