Results 81 to 90 of about 22,523 (167)

Sativex-like combination of phytocannabinoids is neuroprotective in malonate-lesioned rats, an inflammatory model of Huntington's disease: role of CB1 and CB2 receptors.

open access: yesACS Chemical Neuroscience, 2012
We have investigated whether a 1:1 combination of botanical extracts enriched in either Δ(9)-tetrahydrocannabinol (Δ(9)-THC) or cannabidiol (CBD), which are the main constituents of the cannabis-based medicine Sativex, is neuroprotective in Huntington's ...
S. Valdeolivas   +4 more
semanticscholar   +1 more source

An Improved Synthesis of Homocitrate

open access: yesMolecules, 1998
Monoethyl malonate (1) and tert-butyl alcohol are esterified by catalysis with dicyclohexylcarbodiimide and 4-dimethylaminopyridine to yield ethyl t-butyl malonate (2).
Ji-Qing Xu, Zeng-Chun Li
doaj   +1 more source

Regulation and Evolution of Malonate and Propionate Catabolism in Proteobacteria

open access: yesJournal of Bacteriology, 2012
Bacteria catabolize malonate via two pathways, encoded by the mdc and mat genes. In various bacteria, transcription of these genes is controlled by the GntR family transcription factors (TFs) MatR/MdcY and/or the LysR family transcription factor MdcR ...
I. Suvorova, D. Ravcheev, M. Gelfand
semanticscholar   +1 more source

Syn and anti conformers of diammonium aquabis(malonato)oxidovanadate(IV) in an anhydrate crystal

open access: yesActa Crystallographica Section E: Crystallographic Communications, 2018
The asymmetric unit of the title anhydrate compound, (NH4)2[VO(C3H2O4)2(H2O)], consists of two independent complex anions and four ammonium cations. In the complex anions, the VIV atoms are each coordinated by two malonate ligands, one water molecule and
Keiji Ohno   +3 more
doaj   +1 more source

Palladium-Catalyzed α-Arylation of Dimethyl Malonate and Ethyl Cyanoacetate with o-Alkoxybromobenzenes for the Synthesis of Phenylacetic Acid, Esters and Phenylacetonitriles

open access: yesSynOpen, 2017
α-Aryl malonate and α-aryl cyano acetate moieties are found in the structures of many bioactive compounds. They are also key intermediates for the synthesis of many compounds such as isoflavonoids.
José F. Cívicos   +2 more
doaj   +1 more source

Poly[tetraaqua-di-μ4-malonato-barium(II)cadmium(II)]

open access: yesActa Crystallographica Section E, 2011
In the title complex, [BaCd(C3H2O4)2(H2O)4]n, the BaII atoms, located on crystallographic twofold axes, adopt slightly distorted square-antiprismatic coordination geometries, while the CdII atoms, which lie on crystallographic centres of symmetry, have a
Long Liu   +3 more
doaj   +1 more source

catena-Poly[[triaquachlorido-μ3-malonato-cerium(III)] hemihydrate]

open access: yesActa Crystallographica Section E, 2010
The asymmetric unit of the title compound, {[Ce(C3H2O4)Cl(H2O)3]·0.5H2O}n, contains a Ce3+ atom coordinated by a chloride anion, three water molecules and a malonate ligand, and one water molecule of crystallization with a factor of occupancy of
Patrícia Silva   +2 more
doaj   +1 more source

Aqua(2,2′-bipyridine-κ2N,N′)[2-(3-thienyl)malonato-κ2O,O′]zinc(II) dihydrate

open access: yesActa Crystallographica Section E, 2009
In the crystal structure of the title compound, [Zn(C7H4O4S)(C10H8N2)(H2O)]·2H2O, the ZnII ion assumes a trigonal–bipyramidal coordination geometry completed by two N atoms from a 2,2′-bipyridine ligand, two O atoms from a 2-(
Peng Zhang   +4 more
doaj   +1 more source

Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search [PDF]

open access: yesarXiv, 2012
Previous work has shown that the problem of learning the optimal structure of a Bayesian network can be formulated as a shortest path finding problem in a graph and solved using A* search. In this paper, we improve the scalability of this approach by developing a memory-efficient heuristic search algorithm for learning the structure of a Bayesian ...
arxiv  

Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks [PDF]

open access: yesarXiv, 2013
Exact algorithms for learning Bayesian networks guarantee to find provably optimal networks. However, they may fail in difficult learning tasks due to limited time or memory. In this research we adapt several anytime heuristic search-based algorithms to learn Bayesian networks.
arxiv  

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