Author

Alexandre Victor Fassio

Universidade Federal de Minas GeraisORCID 0000-0002-2182-4709Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Raquel C. de Melo-MinardiiD· 2 shared Diego Mauricio Riaño‐PachóniD· 1 shared Flávia Vischi WinckiD· 1 shared Jessica L. McKinleyiD· 1 shared Laura ShubiD· 1 shared Luca PonzoniiD· 1 shared Matthew J. O’MearaiD· 1 shared Michael J. KeiseriD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Raquel C. de Melo-MinardiORCID

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Author profile →

3 papers

Recent·Most cited

Prioritizing virtual screening with interpretable interaction fingerprints

Alexandre Victor Fassio, Laura Shub, Luca Ponzoni, Jessica L. McKinley, Matthew J. O’Meara, Rafaela Salgado Ferreira, Michael J. Keiser, Raquel C. de Melo-Minardi

The paper introduces LUNA, a toolkit that generates interpretable interaction fingerprints for protein-ligand interactions to improve machine learning-based virtual screening.

Journal of Chemical Information and Modeling · Sep 14, 2022Peer-reviewedBioinformatics

PhycoMine: A Microalgae Data Warehouse

Rodrigo R. D. Goitia, Diego Mauricio Riaño‐Pachón, Alexandre Victor Fassio, Flávia Vischi Winck

PhycoMine is a data warehouse for microalgae data analysis, offering tools for gene expression, pathway, and network analysis, with a focus on Chlamydomonas reinhardtii.

bioRxiv · Sep 27, 2021 · PreprintSystems Biology

Vermont: a multi-perspective visual interactiveplatform for mutational analysis

Alexandre Victor Fassio, Pedro Martins, Samuel da S. Guimarães, S. A. Sócrates, Vagner S. Ribeiro, Raquel C. de Melo-Minardi, Sabrina de Azevedo Silveira

VERMONT 2.0 is a visual interactive platform that helps analyze the impact of protein point mutations by integrating sequence and structural data.

BMC Bioinformatics · Sep 1, 2017Peer-reviewedBioinformatics