TDR Targets is currently led and run by the Trypanosomatics group at IIB-UNSAM (Argentina) with help with external collaborators worldwide.
The team at IIBIO-UNSAM
Lionel Urán Landaburu, PhD Student (UNSAM), Fellow of the National Research Council (CONICET, Argentina)
Fernán Agüero, Group Leader (UNSAM), Principal Investigator, National Research Council (CONICET, Argentina)
Ariel Chernomoretz, Santiago Videla, Ariel Berenstein, Fundación Instituto Leloir, Buenos Aires, Argentina
Dhanasekaran Shanmugam, Parag Maru, Council of Scientific and Industrial Research – National Chemical Laboratory, Mumbai, India
The TDR Target Project was jumpstarted in 2005 after a call for applications was launched by TDR (the Special Programme for Research and Training in Tropical Diseases (UNICEF / UNDP / World Bank / WHO). As a result of that call five groups were funded to develop a portfolio of candidate drug targets for neglected tropical diseases, which shortly turned into the development of a database/web-based resource for prioritizing targets for human pathogens.
Former Team and Collaborators:
María Paula Magariños, Santiago Carmona, Universidad de San Martín, San Martín, Buenos Aires, Argentina
David S Roos, Dhanasekaran Shanmugam, University of Pennsylvania, Philadelphia, PA, USA
Wes Van Voorhis, Greg Crowther, Aaron Riechers, University of Washington, Seattle, WA, USA
Matt Berriman, Magdalena Zarowiecki, Arnab Pain, Takashi Suzuki, Christiane Hertz-Fowler, Wellcome Trust Sanger Institute, Hinxton, UK
Stuart Ralph, Maria Doyle, University of Melbourne, Melbourne, Victoria, Australia
Much of the data in TDR Targets is provided by upstream database resources. For a list of data integrated in TDR Targets please see the 'Data Sources, Providers and Methods" section in this page.
To cite your use of TDR Targets in your work, please use:
TDR Targets 6: Driving drug discovery for human pathogens through intensive chemogenomic data integration.
Landaburu LU, Berenstein A, Videla S, Maru P, Shanmugam D, Chernomoretz A, Agüero F. (2019)
Nucleic Acids Research 48: DOI: 10.1093/nar/gkz999
Data in TDR Targets is obtained from upstream databases or provided by independent researchers through curation of the literature. For a list of the data integrated into TDR Targets and the related publications see below.
Please cite the authors and data providers when you use their data.
Genomic Data was obtained from the public domain (GenBank) or downstream providers of these data, such as Ensembl (Human, Mouse, Rat), EuPathDB (Unicellular Eukaryotic Pathogens), Wormbase (C. elegans), Wormbase Parasite (Helminths), Mycobrowser (Mycobacteria), SGD (Yeast), FlyBase (Drosophila).
Chemical Data was derived from ChEMBL, PubChem or manually curated from the literature.
Chemical similarity searches in TDR Targets use fingerprint-based screens as implemented in OpenBabel, and Matchmol.
Chemogenomic Networks in TDR Targets were built as described in Berenstein AJ et al.(2016)
Orthology Data was derived or calculated from the OrthoMCL database and OrthoMCL algorithms.
Structural Data was derived from the PDB Archive or provided by the Modbase Database.
EC Numbers, Pfam Domains, Ontology Terms were computationally assigned using interproscan, or the KEGG Automatic Annotation Server (KAAS). Ontology Terms are derived from the BTO (BRENDA tissue / enzyme source), CARO (Common Anatomy Reference), ECO (Evidence Codes), FAO (Fungal Anatomy), GO (Gene Ontology), MI (Molecular Interactions), MP (Mammalian Phenotypes), NEWT (Taxonomy,) PATO (Phenotypes and Traits), PLO (Plasmodium Life Cycle), REX (Physicochemical processes) and SO ontologies, and were obtained from the OBO Foundry.
Essentiality data (genome-wide lethal, inviable, loss of fitness or similar phenotyes) were curated from the literature.
Expression data (microarray-based, transcriptomic) were curated from the literature and/or were extracted from upstream database resources such as EuPathDB.
PICTO-Glaxo-2013-0067 (2014-2018) Joint funding from GlaxoSmithKline Argentina and the National Agency for the Promotion of Science and Technology, Argentina (ANPCyT).
IN-1405 (2015-2018) Indo-Argentina Bilateral Cooperation Project, Joint Funding from the Indian Department of Science and Technology (DST) and the Argentinian Ministry of Science and Technology (MINCyT).
Salary support (LUL, FA) is provided by the National Council for Scientific and Technical Research (CONICET, Argentina).
PICT-2010-1479 (2011-2014) National Agency for the Promotion of Science and Technology, Argentina (ANPCyT).
Fogarty International Center D43TW007888 (2010-2013) Fellowship Support (MP Magariños), Training Programme in Infectious Diseases (IIBIO-UNSAM, Argentina -- University of Georgia, USA)
WHO/TDR-A9606 (2005-2012) Special Programme for Research and Training in Tropical Diseases, World Health Organization.
The TDR Targets project would like to thank those who over time have contributed with data, their own time or resources to help create this diverse resource.
Hagai Ginsburg (MPMP), for help with P. falciparum pathways, EC numbers, and curation of bioactive compounds against Malaria.
Anna Gaulton and John Overington, for help with integrating ChEMBL data, and for early access to a pre-release version of ChEMBL.
Feng Chen and Omar Harb, University of Pennsylvania, for help with integrating OrthoMCL data.
Gaia Paolini and Andrew Hopkins (Pfizer Sandwich), for the druggability and compound desirability data.
Bissan Al-Lazikani, Edith Chan and John Overington (Inpharmatica) for the mapping of pathogen proteins against Starlite and the druggability index.
Ursula Pieper, Ben Webb, and Andrej Sali (University of California at San Francisco) for the genome-wide modelling of the pathogen proteins.
Tilde Carlow and Kshitiz Chaudhary (New England Biolabs) for the C. elegans RNAi data.
Bob Campbell (Marine Biological Laboratory, Woods Hole, MA) for the mapping of parasite genes against proteins in DrugBank.
Peter Ertl, Novartis Institutes for Biomedical Research, for the JME Java Molecule Editor used un TDR Targets 5.
ChemAxon, for the generous FreeWeb license of Marvin JS used since TDR Targets 6.
The data at this site is provided freely for public use, through the contributions of many researchers including those involved in curating data from the literature. The data is not guaranteed to be accurate as it often reflects the results of ongoing research.
When using data from the TDR Targets project, please cite the original publications and contributors of that data. Please see "Citing TDR Targets" and "Data Sources, Providers and Methods" sections in this page.
[UPDATED: July 30th, 2018]
TDR Targets (also referred to as ‘we’ throughout this document) is committed to protecting its users’ data and privacy. The purpose of this page is to provide you with information about how the data we collect from users of this website is used or shared. We may update this Privacy Notice from time to time. We encourage you to visit this page frequently and take note of the date updated field above.
We do not use or share any of your personal information for any purpose unrelated to the functionality of the websites.
[UPDATED: October 10th, 2019]
Cookies are small text files that are placed on your computer by websites that you visit. They are widely used in order to make websites work, or work more efficiently, as well as to provide information to the owners of the site. The table below explains the cookies we use and why.
|Session||tdrtargets_cookie||This cookie is used to remember and persist a user’s session and store choices about cookies on tdrtargets.org. Where users have previously indicated a preference, that user’s preference will be stored in this cookie.|
|Universal Analytics (Google)||_ga, _gali, _gat, _gid||These cookies are used to collect information about how visitors use our website. We use the information to compile reports and to help us improve the website. The cookies collect information in a way that does not directly identify anyone, including the number of visitors to the website and blog, where visitors have come to the website from and the pages they visited.Read Google's overview of privacy and safeguarding data|
How do I change my cookie settings? Most web browsers allow some control of most cookies through the browser settings. To find out more about cookies, including how to see what cookies have been set, visit www.aboutcookies.org or www.allaboutcookies.org.
Find out how to manage cookies on popular browsers:
Microsoft Internet Explorer
To find information relating to other browsers, visit the browser developer's website.
To opt out of being tracked by Google Analytics across all websites, visit http://tools.google.com/dlpage/gaoptout.
In TDR Targets, we carry chemogenomic information for both pathogens and non-pathogenic model organisms. The selection of organisms was based on historic (funding) or phylogenetic reasons (e.g. to support orthology-based inferences).
We try to provide information to facilitate drug discovery in a wide selection of organisms. To simplify the process of prioritizing drug targets and to focus our use of limited resources, we have two tiers of organisms:
Tier 1 organisms are those for which we aim to provide a complete-data expierence. In case of human pathogens, you can run prioritizations on these organisms. In case of model organisms, we aim to provide as much information as possible on available bioactive compounds, known drug targets, etc.
Tier 2 organisms are those for which we integrate only partial data. Model (non-pathogenic) organisms are included for comparative purposes, as many of these are hosts of parasitic organisms. Also, model organisms (humans, mice) provide a wealth of chemical information for repurposing / repositioning exercises. These organisms may be used to run 'inference by orthology' queries in some cases.
Tier 1 – Pathogens and Diseases in TDR Targets:
Apicomplexa: Plasmodium falciparum (Human Malaria), P. vivax (Vivax Malaria), P. berghei (Rodent Malaria), T. gondii (Toxoplasmosis)
Kinetoplastids / Trypanosomatids: Trypanosoma cruzi (Chagas Disease), Trypanosoma brucei (Human African Trypanosomiasis), Leishmania major (Cutaneous Leishmaniasis)
Other Protozoans / Lower Eukaryotes: Giardia lamblia (Giardiasis), Trichomonas vaginalis (Trichomoniasis), Entamoeba histolytica (Amoebiasis)
Helminths / Nematoda: Brugia malayi (Lymphatic Filariasis), Loa loa (Loiasis), Onchocerca volvulus (River blindness)
Helminths / Flatworms: Schistosoma mansoni (Schistosomiasis), Echinococcus granulosus (Hydatid Disease), E. multilocularis (Alveolar Echinococcosis)
Bacteria: Chlamydia trachomatis (Trachoma), Mycobacterium leprae (Leprosy), M. tuberculosis (Tuberculosis), M. ulcerans (Buruli ulcer), Wolbachia (endosymbiont of B. malayi)
Tier 2 – Other organisms (for phylogenetic queries):
Apicomplexa: P. knowlesi, P. yoelii, Cryptosporidium parvum, C. hominis, Teileria parva, Neospora caninum
Kinetoplastids / Trypanosomatids: T. brucei gambiense, T. congolense, L. infantum, L. braziliensis, L. mexicana
Fungi / Eukaryotes: Candida albicans
Helminths / Flatworms: S. japonicum
Bacteria: Treponema pallidum
Tier 2 – Model Organisms (non-pathogenic):
Mammals: Human, Mouse, Rat
Metazoan / Plants: Arabidopsis thaliana, Oriza sativa
Metazoan / Invertebrates: Drosophila melanogaster (fruit fly)
Helminths / Nematoda: Caenorhabditis elegans
Helminths / Flatworms: Schmidtea mediterranea (planaria)
Amoebozoa / Eukaryotes: Dictyostelium discoideum (slime mold)
Fungi / Eukaryotes: Saccharomyces cerevisiae (yeast)
Bacteria: Escherichia coli