Trends in the exploitation of novel drug targets

By M. Rask-Andersen, M. S. Almén, Helgi B. Schiöth. Nature reviews. Drug discovery, 2011

830 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/4b6d408104b50fdafd29c2d0e1f47789b1b14e40

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Citations in the corpus

CB-Dock2: improved protein–ligand blind docking by integrating cavity detection, docking and homologous template fitting (2022, background): “Recently, there is an increasingly urgent need of blind docking for the reason that massive protein structures have been determined by AlphaFold2 (5) or RoseTTAFold (6), opening the opportunities to explore new target therapies (7,8).”
Discovery and resupply of pharmacologically active plant-derived natural products: A review (2015, background): “drugs that were approved by the FDA during the past three decades (Rask-Andersen et al., 2011) revealed that the biggest group of protein”
The Transporter Classification Database (2013, neutral): “(30), as well as bacterial drug targets.”
Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal (2013, background): “The portal contains gene-centric drug-target information from the following resources: DrugBank (22), KEGG Drug (23), NCI Cancer Drugs (http://www.cancer.gov/cancertopics/ druginfo/alphalist), and Rask-Andersen et al. (24).”
Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery (2011, background): “Target selection and validation are important not only for achieving therapeutic efficacy but also for increasing drug development odds, given that few innovative targets have made it to the approved list each year [12 innovative targets in 1994– 2005 (5) and 10 new human targets in 2006–2010 (6) fo”
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.”
DGIdb 2.0: mining clinically relevant drug–gene interactions (2015, background): “Abbreviations: CF = Clearity Foundation, GTP = Guide To Pharmacology, MCG = My Cancer Genome, TALC = Targeted Agents in Lung Cancer, TTD = Therapeutic Target Database, TEND = Trends in the Exploration of Novel Drug targets, and GO = Gene Ontology MSKCC = Memorial Sloan Kettering Cancer Center. allow”