Author

Mihaela Glamoclija

Rutgers, The State University of New JerseyORCID 0000-0003-4327-6480Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Ariel Alejandro AptekmanniD· 1 shared Diego Ulises FerreiroiD· 1 shared Donato GiovannelliiD· 1 shared Joy BuongiornoiD· 1 shared Yana BrombergiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Ariel Alejandro AptekmannORCID

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1 paper

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedMay 27, 2022

mebipred: identifying metal-binding potential in protein sequences.

Ariel Alejandro Aptekmann, Joy Buongiorno, Donato Giovannelli…·Yana Bromberg

The paper introduces mebipred, a machine learning tool for predicting metal-binding proteins from sequence data, achieving 90% accuracy and outperforming existing methods.

52 citations

protein sequencemachine learning (classical)

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