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Usage

Uses

Used in Pharmaceutical Industry:
N-ω,ω-dimethyl-D-arginine (symmetrical) is used as a research compound for studying its potential role in modulating nitric oxide levels and its implications in various physiological and pathological processes. Its inhibitory effect on nitric oxide synthase makes it a promising candidate for the development of therapeutic agents targeting cardiovascular diseases, inflammation, and neurodegenerative disorders.
Used in Medical Research:
N-ω,ω-dimethyl-D-arginine (symmetrical) is used as a research tool in medical research to investigate its role in the regulation of blood pressure and vascular function. Understanding its mechanism of action and potential therapeutic applications can contribute to the development of novel treatments for related conditions.

Upstream product

• 506-68-3 bromocyane 
• 70-26-8 L-ornithine 
• 124-40-3 dimethyl amine 

Relevant academic research and scientific papers

Binding Methylarginines and Methyllysines as Free Amino Acids: A Comparative Study of Multiple Host Classes**

Methylated free amino acids are an important class of targets for host-guest chemistry that have recognition properties distinct from those of methylated peptides and proteins. We present comparative binding studies for three different host classes that are each studied with multiple methylated arginines and lysines to determine fundamental structure-function relationships. The hosts studied are all anionic and include three calixarenes, two acyclic cucurbiturils, and two other cleft-like hosts, a clip and a tweezer. We determined the binding association constants for a panel of methylated amino acids using indicator displacement assays. The acyclic cucurbiturils display stronger binding to the methylated amino acids, and some unique patterns of selectivity. The two other cleft-like hosts follow two different trends, shallow host (clip) following similar trends to the calixarenes, and the other more closed host (tweezer) binding certain less-methylated amino acids stronger than their methylated counterparts. Molecular modelling sheds some light on the different preferences of the various hosts. The results identify hosts with new selectivities and with affinities in a range that could be useful for biomedical applications. The overall selectivity patterns are explained by a common framework that considers the geometry, depth of binding pockets, and functional group participation across all host classes.