Identification of Toxoplasma gondii adhesins through a machine learning approach-Reference-Cited by-同舟云学术

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Identification of Toxoplasma gondii adhesins through a machine learning approach

Published:2022-07 Issue: Volume:238 Page:108261
ISSN:0014-4894
Container-title:Experimental Parasitology
language:en
Short-container-title:Experimental Parasitology

Author:

Valencia-Hernández Juan D.,Acosta-Dávila John Alejandro,Arenas-García Juan Camilo,García-López Laura Lorena,Molina-Lara Diego Alejandro,Arenas-Soto Ailan Farid,Eraso-Ortiz Diego A.,Gómez-Marín Jorge E.

Publisher

Elsevier BV

Subject

Immunology,General Medicine,Parasitology,Infectious Diseases

Reference29 articles.

1. MAAP: malarial adhesins and adhesin-like proteins predictor;Ansari;Proteins Struct. Funct. Genet.,2008

2. Cluster analysis identifies aminoacid compositional features that indicate Toxoplasma gondii adhesin proteins;Arenas;Bioinformation,2012

3. MSCA: a spectral comparison algorithm between time series to identify protein-protein interactions;Arenas;BMC Bioinf.,2015

4. EuPathDB: the eukaryotic pathogen genomics database resource;Aurrecoechea;Nucleic Acids Res.,2016

5. A comprehensive subcellular Atlas of the toxoplasma proteome via hyperLOPIT provides spatial context for protein functions;Barylyuk;Cell Host Microbe,2020

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