Results 241 to 250 of about 80,065 (281)
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Compound Data Mining for Drug Discovery

2016
In recent years, there has been unprecedented growth in compound activity data in the public domain. These compound data provide an indispensable resource for drug discovery in academic environments as well as in the pharmaceutical industry. To handle large volumes of heterogeneous and complex compound data and extract discovery-relevant knowledge from
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TRPs: Modulation by Drug-Like Compounds

2014
Drug-like compounds that exert biological activity towards TRP channels are either being used as cell biological tools or further developed into pharmacological lead structures aiming at therapeutic use in diseased states. Although drug-likeliness is not easy to predict, common rules include a relatively low molecular weight, physicochemical ...
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Prediction of Transporter-Mediated Drug–Drug Interactions Using Endogenous Compounds

Clinical Pharmacology & Therapeutics, 2012
Therapy with two or more drugs is more the rule than the exception, particularly in aging societies. Drug-drug interactions are frequently undesirable and may lead to increased toxicity and mortality. Inhibition of transporters is one major mechanism underlying drug-drug interactions.
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies

Ca-A Cancer Journal for Clinicians, 2022
Paolo Tarantino   +2 more
exaly  

Regulating Drug Compounders

Chemical & Engineering News Archive, 2012
openaire   +1 more source

Targeted drug delivery strategies for precision medicines

Nature Reviews Materials, 2021
Mandana T Manzari   +2 more
exaly  

Anti-tuberculosis treatment strategies and drug development: challenges and priorities

Nature Reviews Microbiology, 2022
Véronique A Dartois, Eric J Rubin
exaly  

Allergic drug eruption from pyrazolone compounds

Contact Dermatitis, 1977
R C, Vooys, W G, van Ketel
openaire   +2 more sources

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