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Sci Rep ; 10(1): 10187, 2020 06 23.
Article in English | MEDLINE | ID: covidwho-613136

ABSTRACT

Microsomal prostaglandin E2 synthase-1 (mPGES-1) is known as an ideal target for next generation of anti-inflammatory drugs without the side effects of currently available anti-inflammatory drugs. However, there has been no clinically promising mPGES-1 inhibitor identified through traditional drug discovery and development route. Here we report a new approach, called DREAM-in-CDM (Drug Repurposing Effort Applying Integrated Modeling-in vitro/vivo-Clinical Data Mining), to identify an FDA-approved drug suitable for use as an effective analgesic targeting mPGES-1. The DREAM-in-CDM approach consists of three steps: computational screening of FDA-approved drugs; in vitro and/or in vivo assays; and clinical data mining. By using the DREAM-in-CDM approach, lapatinib has been identified as a promising mPGES-1 inhibitor which may have significant anti-inflammatory effects to relieve various forms of pain and possibly treat various inflammation conditions involved in other inflammation-related diseases such as the lung inflammation caused by the newly identified COVID-19. We anticipate that the DREAM-in-CDM approach will be used to repurpose FDA-approved drugs for various new therapeutic indications associated with new targets.


Subject(s)
Anti-Inflammatory Agents/pharmacology , Coronavirus Infections/drug therapy , Drug Repositioning , Lapatinib/pharmacology , Pneumonia, Viral/drug therapy , Prostaglandin-E Synthases/antagonists & inhibitors , Betacoronavirus , COVID-19 , Computational Chemistry/methods , Coronavirus Infections/pathology , Cyclooxygenase 1/metabolism , Cyclooxygenase 2/metabolism , Cyclooxygenase Inhibitors/pharmacology , Humans , Inflammation/drug therapy , Molecular Dynamics Simulation , Pandemics , Pneumonia, Viral/pathology , Prostaglandin-E Synthases/metabolism , SARS-CoV-2
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