Author

Suzana M. Ribeiro

Universidade Federal da Grande DouradosORCID 0000-0003-1781-3289Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:E. coli· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Octávio Luiz FrancoiD· 2 shared William Farias PortoiD· 2 shared Ali LadramiD· 1 shared Evan F. HaneyiD· 1 shared Karla Cristina do Vale FerreiraiD· 1 shared Luz N. Irazazabal· 1 shared Robert E. W. HancockiD· 1 shared Vincent HumblotiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Octávio Luiz FrancoORCID

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2 papers

Recent·Most cited

BioinformaticsBiochimica et Biophysica Acta (BBA) - General SubjectsPeer-reviewedDec 22, 2021

Sense the Moment: a highly sensitive antimicrobial activity predictor based on hydrophobic moment

William Farias Porto, Karla Cristina do Vale Ferreira, Suzana M. Ribeiro, Octávio Luiz Franco

This paper introduces a new antimicrobial activity predictor called 'Sense the Moment' that outperforms deep-learning methods in distinguishing antimicrobial peptides from shuffled versions.

28 citations

protein sequencemachine learning (classical)

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BioinformaticsBiochimica et Biophysica Acta (BBA) - General SubjectsPeer-reviewedMay 13, 2020

EcDBS1R6: A new broad-spectrum cationic antibacterial peptide derived from a signal peptide sequence

William Farias Porto, Luz N. Irazazabal, Vincent Humblot…·Octávio Luiz Franco

The paper demonstrates the broad-spectrum antibacterial activity of EcDBS1R6, a peptide derived from an Escherichia coli signal peptide modified using the Joker algorithm.

24 citations

E. coliproteomics

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