Author

Symela Lazaridi

University of BernORCID 0009-0003-3323-7215Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:E. coli· 1 Approach:mixed model· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

Thomas LemminiD· 2 shared Chiara RodellaiD· 1 shared Jing YuaniD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 2 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

2 shared papersMolecular Biology

Thomas LemminORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintApr 19, 2024

Atomic insights into the signaling landscape of E. coli PhoQ Histidine Kinase from Molecular Dynamics simulations

Symela Lazaridi, Jing Yuan, Thomas Lemmin

The paper uses Molecular Dynamics simulations and AlphaFold2 to study PhoQ signaling, revealing three conformations and insights into its activation mechanism.

1 citation

E. coliprotein structure

𝕏 PostBluesky

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2024

TemBERTure: Advancing protein thermostability prediction with Deep Learning and attention mechanisms

Chiara Rodella, Symela Lazaridi, Thomas Lemmin

This paper introduces TemBERTure, a Deep Learning framework for predicting protein thermostability using sequence data, showing improved performance with diverse datasets and attention mechanisms.

31 citationstop 4%

protein sequencedeep learning

𝕏 PostBluesky