ReviewAdvanced drug delivery reviews2006
Pharmacophore-based discovery of ligands for drug transporters.
Review in Advanced drug delivery reviews, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 109 citations in OpenAlex.
- Structural and Functional Changes in Biological Systems of Wastewater Treatment Plants Induced by Bicyclic Non-Steroidal Anti-Inflammatory Drugs-A Review.Molecules (Basel, Switzerland) · 2026Review
- Importance of Computer-aided Drug Design in Modern Pharmaceutical Research.Current drug discovery technologies · 2025Review
- Structure-activity relationship of pharmacophores and toxicophores: the need for clinical strategy.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024Review
- Human defensin-inspired discovery of peptidomimetic antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Mechanistic Computational Models of Epithelial Cell Transporters-the Adorned Heroes of Pharmacokinetics.Frontiers in pharmacology · 2021Review
- Computational Modeling on Aquaporin-3 as Skin Cancer Target: A Virtual Screening Study.Frontiers in chemistry · 2020Article
- Molecular Modeling of Drug-Transporter Interactions-An International Transporter Consortium Perspective.Clinical pharmacology and therapeutics · 2018Review
- Discovery of Novel Glucagon Receptor Antagonists Using Combined Pharmacophore Modeling and Docking.Iranian journal of pharmaceutical research : IJPR · 2018Article
- In silico Screening and Evaluation of the Anticonvulsant Activity of Docosahexaenoic Acid-Like Molecules in Experimental Models of Seizures.Iranian biomedical journal · 2017Article
- Lapatinib resistance in HER2+ cancers: latest findings and new concepts on molecular mechanisms.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Review
- SLC Transporters: Structure, Function, and Drug Discovery.MedChemComm · 2016Article
- Ultra-High-Throughput Structure-Based Virtual Screening for Small-Molecule Inhibitors of Protein-Protein Interactions.Journal of chemical information and modeling · 2016Article
- Prediction of drug-ABC-transporter interaction--Recent advances and future challenges.Advanced drug delivery reviews · 2015Review
- Pharmacophore modeling of nilotinib as an inhibitor of ATP-binding cassette drug transporters and BCR-ABL kinase using a three-dimensional quantitative structure-activity relationship approach.Molecular pharmaceutics · 2014Article
- Cysteine scanning mutagenesis of transmembrane domain 10 in organic anion transporting polypeptide 1B1.Biochemistry · 2014Article
- In silico prediction of inhibition of promiscuous breast cancer resistance protein (BCRP/ABCG2).PloS one · 2014Article
- Human intestinal transporter database: QSAR modeling and virtual profiling of drug uptake, efflux and interactions.Pharmaceutical research · 2013Article
- Structure-activity relationship for FDA approved drugs as inhibitors of the human sodium taurocholate cotransporting polypeptide (NTCP).Molecular pharmaceutics · 2013Article
- Molecular analysis and structure-activity relationship modeling of the substrate/inhibitor interaction site of plasma membrane monoamine transporter.The Journal of pharmacology and experimental therapeutics · 2011Article
- Discovery of novel selective serotonin reuptake inhibitors through development of a protein-based pharmacophore.Journal of chemical information and modeling · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The ability to identify ligands for drug transporters is an important step in drug discovery and development. It can both improve accurate profiling of lead pharmacokinetic properties and assist in the discovery of new chemical entities targeting transporters. In silico approaches, especially pharmacophore-based database screening methods have great potential in improving the throughput of current transporter ligand identification assays, leading to a higher hit rate by focusing in vitro testing to the most promising hits. In this review, the potential of different in silico methods in transporter ligand identification studies are compared and summarized with an emphasis on pharmacophore modeling. Various implementations of pharmacophore model generation, database compilation and flexible screening algorithms are also introduced. Recent successful utilization of database searching with pharmacophores to identify novel ligands for the pharmaceutically significant transporters hPepT1, P-gp, BCRP, MRP1 and DAT are reviewed and the challenges encountered with current approaches are discussed.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.