Search results for "combinatorial"

showing 10 items of 1208 documents

A molecular electron density theory study of the Grignard reagent‐mediated regioselective direct synthesis of 1,5‐disubstituted‐1,2,3‐triazoles

2020

Electron densityChemistryOrganic ChemistryRegioselectivityActivation energyPhysical and Theoretical ChemistryGrignard reagentCombinatorial chemistryJournal of Physical Organic Chemistry
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Unusual B4N2C2 Ligand in a Ruthenium Pseudo-Triple-Decker Sandwich Complex Displaying Three Reversible Electron-Transfer Steps

2007

Electron transferchemistryLigandchemistry.chemical_elementGeneral ChemistryCyclic voltammetryPhotochemistryBoronNitrogenCombinatorial chemistryCatalysisRutheniumAngewandte Chemie International Edition
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ChemInform Abstract: Electrophilic Substitution and Cyclization of 2,2′-Bis(N-methylindolyl) : A Simple Access to Potential Protein Kinase C Inhibito…

2010

A strategy is described for the synthesis of functionalized and cyclized 2,2′-bisindolyl derivatives related to several basic systems of natural products. The starting 2,2′-bis(N-methylindolyl) (8) reacts with a variety of electrophiles and electrophilic dienophiles to furnish the novel, functionalized and cyclized bisindolyl derivatives 9–16. In addition, some reactivity and structural aspects are discussed; an X-ray crystallographic analysis of the 2,2′-bisindolyl 8 provided valuable information for the conformational analyses.

Electrophilic substitutionChemistryElectrophileReactivity (chemistry)General MedicineCombinatorial chemistryProtein kinase CChemInform
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A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction

2016

One of the main tasks in chemical industry regarding the sustainability of a product is the prediction of its environmental fate, i.e., its degradation products and pathways. Current methods for the prediction of biodegradation products and pathways of organic environmental pollutants either do not take into account domain knowledge or do not provide probability estimates. In this chapter, we propose a hybrid knowledge-based and machine learning-based approach to overcome these limitations in the context of the University of Minnesota Pathway Prediction System (UM-PPS). The proposed solution performs relative reasoning in a machine learning framework, and obtains one probability estimate fo…

Engineeringbusiness.industryContext (language use)Machine learningcomputer.software_genreRandom forestSet (abstract data type)Transformation (function)Domain knowledgeSensitivity (control systems)Artificial intelligencePrecision and recallbusinesscomputerCombinatorial explosion
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Microwave-assisted synthesis of PHEA-oligoamine copolymers as potential gene delivery systems

2009

Aims - Copolymers bearing oligoamines and having buffering capacity in the endosomal pH range seems very promising as non viral vectors in gene delivery, due to the great importance of endosomal escaping for an efficient endocellular DNA release. Aim of this paper was to prepare new copolymers based on α,β-poly-(N-2-hydroxyethyl)-D,L-aspartamide (PHEA) as polymeric backbone and bearing an oligoamine, such as diethylentriamine (DETA) in the side chain and useful for gene delivery. Moreover in order to reduce solvent volume and to make faster the reaction, microwave-assisted has been used. Materials and methods - PHEA copolymers bearing different amount of DETA were prepared by using bis(4-ni…

Erythrocyte AggregationMaterials scienceCell SurvivalPolymersBiomedical EngineeringMedicine (miscellaneous)Bioengineeringmicrowave-assisted synthesis PHEA polycationDevelopmentGene deliveryHemolysisMicrowave assistedpolyhydroxyethylaspartamideNitrophenolsMicechemistry.chemical_compoundPlasmid dnaCell Line TumorPolymer chemistryPolyaminesSide chainCopolymerAnimalsHumansGeneral Materials Sciencegene deliveryMicrowavesDerivatizationPolyhydroxyethyl MethacrylateDETA diethyltriamineGene Transfer TechniquesDNACombinatorial chemistrySolventchemistryDiethylenetriamine
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New pegylated polyaspartamide-based polyplexes as gene delivery vectors

2010

Aims: To synthesize novel polyhydroxyethylaspartamide (PHEA) copolymers containing spermine (Spm) and polyethylene glycol (PEG) moieties in high yields, with the expectation that this material would show stealth properties and the ability to complex DNA by electrostatic interactions. Materials & methods: PHEA–PEG–Spm copolymer was prepared with a two-step reaction. Chemical, physicochemical and biological characterizations of PHEA–PEG–Spm copolymers and their obtained polyplexes with pDNA were performed. Results: The introduction of spermine in PHEA structure allows to obtain a copolymer bearing in the side chains polyamine moieties capable to interact with DNA. On the other hand, the …

ErythrocytesMaterials scienceBiocompatibilityGenetic VectorsStatic ElectricityGENE DELIVERY VECTORS POLYPLEXES NANOMEDICINE.Melanoma ExperimentalBiomedical EngineeringMedicine (miscellaneous)SpermineBioengineeringPolyethylene glycolDevelopmentGene deliveryPolyethylene GlycolsElectrolytesMicechemistry.chemical_compoundPolymer chemistryPEG ratioPolyaminesSide chainCopolymerAnimalsHumansNanotechnologyGeneral Materials SciencefungiGene Transfer Techniquestechnology industry and agricultureDNACombinatorial chemistryModels ChemicalchemistrySettore CHIM/09 - Farmaceutico Tecnologico ApplicativoSperminePeptidesPolyamineNanomedicine
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Acetaldehyde and salsolinol in ethanol’s two-step mechanism of action: An overview

2018

In the last years, numerous studies have supported the idea that, at least in part, motivational and neuropharmacological effects of ethanol are mediated by its first brain-derived metabolite, acetaldehyde, and its bioderivate salsolinol. This review aims at gathering and shaping as a whole the evidence on their role in the mechanism of action of ethanol. Acetaldehyde and salsolinol interact with the reward brain system and are involved as primum movens of motivational and addictive behaviour that can be especially relevant to ethanol use disorders. Understanding the neurobiology of acetaldehyde and salsolinol holds promising potential for the development of novel pharmacological approaches…

EthanolEthanolBiochemistry (medical)Two stepAcetaldehydeAcetaldehydePlant ScienceCombinatorial chemistryGeneral Biochemistry Genetics and Molecular BiologySalsolinolchemistry.chemical_compoundethanol acetaldehyde salsolinol rewardRewardchemistryMechanism of actionlcsh:Biology (General)medicinemedicine.symptomlcsh:QH301-705.5Journal of Biological Research
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Long-Chain Alkyl Epoxides and Glycidyl Ethers: An Underrated Class of Monomers.

2020

Long-chain epoxides and specifically alkyl glycidyl ethers represent a class of highly hydrophobic monomers for anionic ring-opening polymerization (AROP), resulting in apolar aliphatic polyethers. In contrast, poly(ethylene glycol) is known for its high solubility in water. The combination of hydrophobic and hydrophilic monomers in block and statistical copolymerization reactions enables the synthesis of amphiphilic polyethers for a wide range of purposes, utilizing micellar interactions in aqueous solutions, e.g., viscosity enhancement of aqueous solutions, formation of supramolecular hydrogels, or for polymeric surfactants. Controlled polymerization of these highly hydrophobic long-chain…

Ethylene OxidePolymers and PlasticsPolymersEpoxide02 engineering and technologyPoloxamer010402 general chemistry01 natural sciencesPolymerizationchemistry.chemical_compoundSurface-Active AgentsAmphiphileMaterials ChemistryCopolymerAlkylMicelleschemistry.chemical_classificationEthylene oxideChemistryOrganic Chemistrytechnology industry and agriculture021001 nanoscience & nanotechnologyCombinatorial chemistry0104 chemical sciencesMonomerPolymerizationEpoxy Compounds0210 nano-technologyEthylene glycolHydrophobic and Hydrophilic InteractionsMacromolecular rapid communications
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Combinatorial proofs of two theorems of Lutz and Stull

2021

Recently, Lutz and Stull used methods from algorithmic information theory to prove two new Marstrand-type projection theorems, concerning subsets of Euclidean space which are not assumed to be Borel, or even analytic. One of the theorems states that if $K \subset \mathbb{R}^{n}$ is any set with equal Hausdorff and packing dimensions, then $$ \dim_{\mathrm{H}} π_{e}(K) = \min\{\dim_{\mathrm{H}} K,1\} $$ for almost every $e \in S^{n - 1}$. Here $π_{e}$ stands for orthogonal projection to $\mathrm{span}(e)$. The primary purpose of this paper is to present proofs for Lutz and Stull's projection theorems which do not refer to information theoretic concepts. Instead, they will rely on combinatori…

FOS: Computer and information sciences28A80 (primary) 28A78 (secondary)General MathematicskombinatoriikkaCombinatorial proofComputational Complexity (cs.CC)01 natural sciencesCombinatoricsMathematics - Metric GeometryHausdorff and packing measures0103 physical sciencesClassical Analysis and ODEs (math.CA)FOS: Mathematics0101 mathematicsMathematicsAlgorithmic information theoryLemma (mathematics)Euclidean spacePigeonhole principle010102 general mathematicsOrthographic projectionHausdorff spaceMetric Geometry (math.MG)Projection (relational algebra)Computer Science - Computational ComplexityMathematics - Classical Analysis and ODEsfraktaalit010307 mathematical physicsmittateoria
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Improving table compression with combinatorial optimization

2002

We study the problem of compressing massive tables within the partition-training paradigm introduced by Buchsbaum et al. [SODA'00], in which a table is partitioned by an off-line training procedure into disjoint intervals of columns, each of which is compressed separately by a standard, on-line compressor like gzip. We provide a new theory that unifies previous experimental observations on partitioning and heuristic observations on column permutation, all of which are used to improve compression rates. Based on the theory, we devise the first on-line training algorithms for table compression, which can be applied to individual files, not just continuously operating sources; and also a new, …

FOS: Computer and information sciencesComputer scienceHeuristic (computer science)E.4G.2.1Data_CODINGANDINFORMATIONTHEORYDisjoint setsTravelling salesman problemPermutationArtificial IntelligenceCompression (functional analysis)Computer Science - Data Structures and AlgorithmsH.1.8H.2.7Data Structures and Algorithms (cs.DS)E.4; F.1.3; F.2.2; G.2.1; H.1.1; H.1.8; H.2.7H.1.1Dynamic programmingHardware and ArchitectureControl and Systems EngineeringCombinatorial optimizationTable (database)F.1.3F.2.2AlgorithmSoftwareInformation SystemsJournal of the ACM
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