Author

Mariane Gonçalves-Kulik

Johannes Gutenberg University MainzORCID 0009-0000-5432-3524Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:mixed model· 1 Research Focus:phylogenetics / evolution· 1 Assay:protein structure· 1 Assay:proteomics· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

Camilla Reginatto De PierriiD· 1 shared Danrley R. Fernandes· 1 shared Diogo J. S. Machado· 1 shared Fábio O. PedrosaiD· 1 shared Friederike SchmidiD· 1 shared Jeroniza Nunes MarchaukoskiiD· 1 shared Luis A. BaptistaiD· 1 shared Miguel Angel Andrade-NavarroiD· 1 shared

Activity by Year

2020-2025 · 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

1 shared paperBioinformatics

Camilla Reginatto De PierriORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsComputational and Structural Biotechnology ReportsPeer-reviewedJan 1, 2025

Assessing the helical stability of polyXYs at the boundaries of Intrinsically Disordered Regions with MD simulations

Mariane Gonçalves-Kulik, Luis A. Baptista, Friederike Schmid, Miguel Angel Andrade-Navarro

The paper uses MD simulations to study helical stability in polyXY sequences at IDR boundaries, finding they form dynamic helices that may aid in protein flexibility.

DOI 10.1016/j.csbr.2025.100054

protein structuremixed model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 9, 2020

rSWeeP: A R/Bioconductor package deal with SWeeP sequences representation

Danrley R. Fernandes, Mariane Gonçalves-Kulik, Diogo J. S. Machado…·Roberto Tadeu Raittz

The paper introduces rSWeeP, an R/Bioconductor package implementing the SWeeP model for efficient heuristic representation of Big Data, and demonstrates its use in phylogenetic and PCA analysis of viral proteomes.

1 citation

virusproteomics

𝕏 PostBluesky