ArticlePLoS neglected tropical diseases2017
TrypsNetDB: An integrated framework for the functional characterization of trypanosomatid proteins.
Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Genome-wide association study analysis of single nucleotide variants inParasitology · 2025Article
- Prioritization of Trypanosoma brucei editosome protein interactions interfaces at residue resolution through proteome-scale network analysis.BMC molecular and cell biology · 2024Article
- Recent Advances in Chemotherapeutics for Leishmaniasis: Importance of the Cellular Biochemistry of the Parasite and Its Molecular Interaction with the Host.Pathogens (Basel, Switzerland) · 2023Review
- Targeting trypanosomes: how chemogenomics and artificial intelligence can guide drug discovery.Biochemical Society transactions · 2023Review
- TriTrypDB: An integrated functional genomics resource for kinetoplastida.PLoS neglected tropical diseases · 2023Article
- Article
- In Silico Characterization of Calcineurin from Pathogenic Obligate Intracellular Trypanosomatids: Potential New Biological Roles.Biomolecules · 2021Article
- The Hsp70/J-protein machinery of the African trypanosome, Trypanosoma brucei.Cell stress & chaperones · 2019Article
- The Trypanosoma cruzi RNA-binding protein RBP42 is expressed in the cytoplasm throughout the life cycle of the parasite.Parasitology research · 2018Article
- Prediction of Protein Complexes inMolecular & cellular proteomics : MCP · 2017Article
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5 authors.
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Abstract
Trypanosomatid parasites cause serious infections in humans and production losses in livestock. Due to the high divergence from other eukaryotes, such as humans and model organisms, the functional roles of many trypanosomatid proteins cannot be predicted by homology-based methods, rendering a significant portion of their proteins as uncharacterized. Recent technological advances have led to the availability of multiple systematic and genome-wide datasets on trypanosomatid parasites that are informative regarding the biological role(s) of their proteins. Here, we report TrypsNetDB (http://trypsNetDB.org), a web-based resource for the functional annotation of 16 different species/strains of trypanosomatid parasites. The database not only visualizes the network context of the queried protein(s) in an intuitive way but also examines the response of the represented network in more than 50 different biological contexts and its enrichment for various biological terms and pathways, protein sequence signatures, and potential RNA regulatory elements. The interactome core of the database, as of Jan 23, 2017, contains 101,187 interactions among 13,395 trypanosomatid proteins inferred from 97 genome-wide and focused studies on the interactome of these organisms.
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