Author

Duccio Malinverni

École Polytechnique Fédérale de LausanneORCID 0000-0002-3946-9709Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Biophysics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Assay:protein sequence· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:protein design· 1

Frequent Co-Authors

Paolo De Los RiosiD· 3 shared Alessandro BarducciiD· 2 shared Alfredo Jost Lopez· 1 shared Annalisa PastoreiD· 1 shared Gerhard Hummer· 1 shared Marco FantiniiD· 1 shared Mathieu Edouard RebeaudiD· 1 shared Nadinath B. NillegodaiD· 1 shared

Activity by Year

2016-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 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

3 shared papersBioinformatics

Paolo De Los RiosORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Data-driven large-scale genomic analysis reveals an intricate phylogenetic and functional landscape in J-domain proteins

Duccio Malinverni, Stefano Zamuner, Mathieu Edouard Rebeaud, Alessandro Barducci, Nadinath B. Nillegoda, Paolo De Los Rios

The paper uses ANNs to classify J-domain proteins, revealing phylogeny, localization, and domain composition from sequence data, with insights into coevolution with Hsp70 partners.

Proceedings of the National Academy of Sciences · Jul 31, 2023Peer-reviewedBioinformatics

New Techniques for Ancient Proteins: Direct Coupling Analysis Applied on Proteins involved in Iron Sulfur Cluster Biogenesis

Marco Fantini, Duccio Malinverni, Paolo De Los Rios, Annalisa Pastore

The paper applies direct coupling analysis to study proteins involved in iron-sulfur cluster biogenesis, revealing structural and interaction features of these proteins.

Frontiers in Molecular Biosciences · Jun 14, 2017Peer-reviewedBioinformatics

Modeling Hsp70/Hsp40 interaction by multi-scale molecular simulations and co-evolutionary sequence analysis

Duccio Malinverni, Alfredo Jost Lopez, Paolo De Los Rios, Gerhard Hummer, Alessandro Barducci

This study combines molecular simulations and co-evolutionary sequence analysis to model the Hsp70/Hsp40 interaction in bacteria, identifying a conserved interaction surface.

bioRxiv · Aug 4, 2016Biophysics