LeishMANIAdb: a comparative resource for Leishmania proteins

Author:

Tusnády Gábor E12,Zeke András1,Kálmán Zsófia E3,Fatoux Marie45,Ricard-Blum Sylvie4ORCID,Gibson Toby J6,Dobson Laszlo16ORCID

Affiliation:

1. Protein Bioinformatics Research Group, Institute of Enzymology, Research Centre for Natural Sciences , Magyar Tudósok körútja 2, Budapest 1117, Hungary

2. Department of Bioinformatics, Semmelweis University , Tűzoltó u. 7, Budapest 1094, Hungary

3. Faculty of Information Technology and Bionics, Pázmány Péter Catholic University , Práter u. 50/A, Budapest 1083, Hungary

4. ICBMS UMR CNRS 5246, University Lyon 1 , Rue Victor Grignard, Villeurbanne 69622, France

5. UMR CNRS 5086, University Lyon 1 , 7 Passage du Vercors, Lyon 69367, France

6. Structural and Computational Biology Unit, European Molecular Biology Laboratory , Meyerhofstraße 1, Heidelberg 69117, Germany

Abstract

Abstract Leishmaniasis is a detrimental disease causing serious changes in quality of life and some forms can lead to death. The disease is spread by the parasite Leishmania transmitted by sandfly vectors and their primary hosts are vertebrates including humans. The pathogen penetrates host cells and secretes proteins (the secretome) to repurpose cells for pathogen growth and to alter cell signaling via host–pathogen protein–protein interactions). Here, we present LeishMANIAdb, a database specifically designed to investigate how Leishmania virulence factors may interfere with host proteins. Since the secretomes of different Leishmania species are only partially characterized, we collated various experimental evidence and used computational predictions to identify Leishmania secreted proteins to generate a user-friendly unified web resource allowing users to access all information available on experimental and predicted secretomes. In addition, we manually annotated host–pathogen interactions of 211 proteins and the localization/function of 3764 transmembrane (TM) proteins of different Leishmania species. We also enriched all proteins with automatic structural and functional predictions that can provide new insights in the molecular mechanisms of infection. Our database may provide novel insights into Leishmania host–pathogen interactions and help to identify new therapeutic targets for this neglected disease. Database URL  https://leishmaniadb.ttk.hu/

Funder

Nemzeti Kutatási, Fejlesztési és Innovaciós Alap

H2020 Marie Sklodowska-Curie Actions

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ELM—the Eukaryotic Linear Motif resource—2024 update;Nucleic Acids Research;2023-11-14

2. UniTmp: unified resources for transmembrane proteins;Nucleic Acids Research;2023-10-23

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