TTD: Therapeutic Target Database

By Xin Chen, Zhi Liang Ji, Yu Zong Chen. Nucleic Acids Res., 2002

668 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/854273c828b7324764d9542f2e8428e0ac9cbd66

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Citations in the corpus

DrugBank: a knowledgebase for drugs, drug actions and drug targets (2007, background): “Examples of chemically oriented drug (or small molecule) databases include the TTD (3), the Druggable Genome database (4), KEGG (5), PubChem (6) and ChEBI (7).”
A comprehensive map of molecular drug targets (2016, background): “For example, Rask-Andersen et al. 11 assigned one voltage-gated potassium channel (K v 11.1; encoded by KCNH2 ) and two adrenergic receptors as targets for dronedar-one, whereas the Therapeutic Targets Database lists only K v 1.5 (another voltage-gated potassium channel) as a target.”
A Systematic Prediction of Multiple Drug-Target Interactions from Chemical, Genomic, and Pharmacological Data (2012, background): “, Prostaglandin G/H synthase 1, Prostaglandin G/H synthase 2, Ribosyldihydronicotinamide dehydrogenase [quinone] and Casein kinase II subunit a, and all these proteins have been well demonstrated interacting with this compound [56,57].”
Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery (2011, methodology): “Internet resources such as Therapeutic Target Database (TTD) (14,15) and DrugBank (16) provide comprehensive information about the targets and drugs in different development and clinical stages, which are highly useful for facilitating focused drug discovery efforts and pharmaceutical investigations”
DrugBank: a comprehensive resource for in silico drug discovery and exploration (2005, background): “The Therapeutic Target Database or TTD is one such example (1).”
Machine learning approaches and databases for prediction of drug–target interaction: a survey paper (2020, methodology): “Other databases included in this group are SuperTarget [241], Guide to PHARMACOLOGY (GtoPdb) [240], DrugBank [242–246], Therapeutic Targets Database (TTD) [247], STITCH [248–252], ChemProt 3.0 [253] and DGIdb 3.0 [254].”
BioTriangle: a web-accessible platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions (2016, background): “Consequently, public databases for human-specific molecular interaction data have been undergoing a rapid growth within the past decade, such as BIND [18], DIP [19], STITCH [20], HPRD [21], TTD [22], DrugBank [23], ChEMBL [24], KEGG [25], BindingDB [26], SuperTarget and Matador [27], to name a few.”
TarFisDock: a web server for identifying drug targets with docking approach (2006, background): “The target proteins collected in PDTD were selected from the literature (19‐22), and from several online databases, such as DrugBank (http://redpoll.pharmacy.ualberta.ca/drugbank/) (23), and TTD (http://bidd.nus.edu.sg/group/cjttd/) ( 24 ).”
STITCH 3: zooming in on protein–chemical interactions (2011, background): “In this release, we have added import of interaction data from three databases: ChEMBL, TTD and DIPS (1,7,8).”
Prediction of Drug Combinations by Integrating Molecular and Pharmacological Data (2011, neutral): “target database (TTD, November, 2010) [30].”
Computational drug discovery (2012, methodology): “The general information for these proteins was extracted from the literature and several online databases, such as TTD [22] , DrugBank [23] , and Thomson Pharma.”
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (2018, methodology): “These entries are extracted from the Therapeutic Target Database (TTD) [Chen et al. , 2002].”
SuperTarget and Matador: resources for exploring drug-target relationships (2007, background): “Another notable database is the Therapeutic Target Database (TTD) (4), which holds target information on about 1000 small molecule drugs.”