Search results for "Computer Science Application"

showing 10 items of 3998 documents

Virtual darwinian drug design: QSAR inverse problem, virtual combinatorial chemistry, and computational screening.

2001

The generation of diversity and its further selection by an external system is a common mechanism for the evolution of the living species and for the current drug design methods. This assumption allows us to label the methods based on generation and selection of molecular diversity as "Darwinian" ones, and to distinguish them from the structure-based, structure-modulation approaches. An example of a Darwinian method is the inverse QSAR. It consists of the computational generation of candidate chemical structures and their selection according to a previously established QSAR model. New trends in the field of combinatorial chemical syntheses comprise the concepts of virtual combinatorial synt…

Quantitative structure–activity relationshipVirtual screeningCombinatorial Chemistry TechniquesChemistryOrganic ChemistryQuantitative Structure-Activity RelationshipGeneral MedicineInverse problemCombinatorial chemistryBiological EvolutionField (computer science)Computer Science ApplicationsDrug DesignDrug DiscoveryGraph (abstract data type)Combinatorial Chemistry TechniquesComputer SimulationDesign methodsSelection (genetic algorithm)Combinatorial chemistryhigh throughput screening
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Atom-Based 2D Quadratic Indices in Drug Discovery of Novel Tyrosinase Inhibitors: Results ofIn Silico Studies Supported by Experimental Results

2007

Herein we present results of QSAR studies of tyrosinase inhibitors employing one of the atom-based TOMOCOMD-CARDD (acronym of TOpological MOlecular COMputer Design-Computer Aided “Rational” Drug Design) descriptors, molecular quadratic indices, and Linear Discriminant Analysis (LDA) as pattern recognition method. In this way, a database of 246 organic chemicals, reported as tyrosinase inhibitors having great structural variability, was analyzed and presented as a helpful tool, not only for theoretical chemists but also for other researchers in this area. In total, 12 LDA-based QSAR models were obtained, the first six with the non-stochastic total and local quadratic indices and the six rema…

Quantitative structure–activity relationshipVirtual screeningDrug discoveryChemistryIn silicoTyrosinaseOrganic ChemistryComputational biologyMatthews correlation coefficientLinear discriminant analysisCombinatorial chemistryComputer Science ApplicationsMolecular descriptorDrug DiscoveryQSAR & Combinatorial Science
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2D- and 3D-QSAR Models of Interaction between Flavor Compounds and beta-Lactoglobulin Using Catalyst and Cerius2

2004

The present paper describes an application of Catalyst to three aroma sets (35, 24 and 21 compounds respectively) to generate activities-based alignments, using the best significant generated hypotheses. The obtained Catalyst models confirmed the existence of at least two binding sites on the BLG.

Quantitative structure–activity relationshipbiologyChemistryOrganic ChemistryDrug Discoverybiology.proteinOrganic chemistrybiology.organism_classificationBeta-lactoglobulinAromaFlavorComputer Science ApplicationsCatalysisQSAR & Combinatorial Science
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QSAR Analysis of Hypoglycemic Agents Using the Topological Indices

2001

The molecular topology model and discriminant analysis have been applied to the prediction of some pharmacological properties of hypoglycemic drugs using multiple regression equations with their statistical parameters. Regression analysis showed that the molecular topology model predicts these properties. The corresponding stability (cross-validation) studies performed on the selected prediction models confirmed the goodness of the fits. The method used for hypoglycemic activity selection was a linear discriminant analysis (LDA). We make use of the pharmacological distribution diagrams (PDDs) as a visualizing technique for the identification and selection of new hypoglycemic agents, and we …

Quantitative structure–activity relationshipbusiness.industryStatistical parameterRegression analysisPattern recognitionGeneral ChemistryMachine learningcomputer.software_genreLinear discriminant analysisStability (probability)Computer Science ApplicationsComputational Theory and MathematicsLinear regressionArtificial intelligencebusinesscomputerPredictive modellingSelection (genetic algorithm)Information SystemsMathematics
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Modeling Natural Anti-Inflammatory Compounds by Molecular Topology

2011

One of the main pharmacological problems today in the treatment of chronic inflammation diseases consists of the fact that anti-inflammatory drugs usually exhibit side effects. The natural products offer a great hope in the identification of bioactive lead compounds and their development into drugs for treating inflammatory diseases. Computer-aided drug design has proved to be a very useful tool for discovering new drugs and, specifically, Molecular Topology has become a good technique for such a goal. A topological-mathematical model, obtained by linear discriminant analysis, has been developed for the search of new anti-inflammatory natural compounds. An external validation obtained with …

Quantitative structure–activity relationshiplinear discriminant analysismedicine.drug_classAnti-Inflammatory AgentsQuantitative Structure-Activity RelationshipComputational biologyCatalysisAnti-inflammatoryNatural (archaeology)ArticleModel validationInorganic Chemistrylcsh:ChemistrymedicinePhysical and Theoretical ChemistryMolecular Biologylcsh:QH301-705.5Spectroscopynaturalanti-inflammatoryVirtual screeningBiological ProductsChemistryOrganic ChemistryExternal validationGeneral MedicineMolecular Topologyvirtual screeningCombinatorial chemistryComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999Models ChemicalMolecular Topology; virtual screening; natural; anti-inflammatory; linear discriminant analysisIdentification (biology)Molecular topologyInternational Journal of Molecular Sciences
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Adaptive Backstepping Control of Uncertain Nonlinear Systems With Input and State Quantization

2022

Though it is common in network control systems that the sensor and control signals are transmitted via a common communication network, no result is available in investigating the stabilization problem for uncertain nonlinear systems with both input and state quantization. The issue is solved in this paper, by presenting an adaptive backstepping based control algorithm for the systems with sector bounded input and state quantizers. In addition to overcome the difficulty to proceed recursive design of virtual controls with quantized states, the relation between the input signal and error state need be well established to handle the effects due to quantization. It is shown that all closed-loop…

Quantization (physics)Nonlinear systemControl and Systems EngineeringControl theoryComputer scienceBounded functionBacksteppingUniform boundednessState (functional analysis)Electrical and Electronic EngineeringTelecommunications networkSignalComputer Science ApplicationsIEEE Transactions on Automatic Control
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Ab Initio Modeling of Donor–Acceptor Interactions and Charge-Transfer Excitations in Molecular Complexes: The Case of Terthiophene–Tetracyanoquinodim…

2015

This work presents a thorough quantum chemical study of the terthiophene-tetracyanoquinodimethane complex as a model for π-π donor-acceptor systems. Dispersion-corrected hybrid (B3LYP-D) and double hybrid (B2PLYP-D), hybrid meta (M06-2X and M06-HF), and recently proposed long-range corrected (LC-wPBE, CAM-B3LYP, and wB97X-D) functionals have been chosen to deal with π-π intermolecular interactions and charge-transfer excitations in a balanced way. These properties are exhaustively compared to those computed with high-level ab initio SCS-MP2 and CASPT2 methods. The wB97X-D functional exhibits the best performance. It provides reliable intermolecular distances and interaction energies and pre…

Quantum chemicalChemistryAb initioCharge (physics)computer.software_genreTetracyanoquinodimethaneComputer Science Applicationschemistry.chemical_compoundTerthiopheneChemical physicsData miningPhysical and Theoretical ChemistryDonor acceptorcomputerJournal of Chemical Theory and Computation
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Quantum chemical meta-workflows in MoSGrid

2014

Quantum chemical workflows can be built up within the science gateway Molecular Simulation Grid. Complex workflows required by the end users are dissected into smaller workflows that can be combined freely to larger meta-workflows. General quantum chemical workflows are described here as well as the real use case of a spectroscopic analysis resulting in an end-user desired meta-workflow. All workflow features are implemented via Web Services Parallel Grid Runtime and Developer Environment and submitted to UNICORE. The workflows are stored in the Molecular Simulation Grid repository and ported to the SHIWA repository. © 2014 John Wiley & Sons, Ltd.

Quantum chemicalComputer Networks and CommunicationsComputer scienceInformationSystems_INFORMATIONSYSTEMSAPPLICATIONSDistributed computingGridcomputer.software_genrePortingComputer Science ApplicationsTheoretical Computer ScienceWorkflowComputational Theory and MathematicsWeb servicecomputerSoftwareConcurrency and Computation: Practice and Experience
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Metal-Polyhydride Molecules Are Compact Inside a Fullerene Cage.

2015

Quantum chemical calculations show that metal−hydride molecules are more compact when they are placed inside a fullerene cage than when they are isolated molecules. The metal−hydrogen bond distance in ZrH4 becomes 0.15 A shorter when it is placed inside a C60 cage. Metal−polyhydride molecules with a large number of H atoms such as ScH15 and ZrH16, which are not bound as isolated molecules, are predicted to be bound inside a fullerene cage. It is also shown that two TiH16 clusters are bound inside a bicapped (9,0) carbon nanotube. Possible ways to make metal−hydrides inside C60 and nanotubes are suggested.

Quantum chemicalFullereneChemistryCarbon nanotubeComputer Science Applicationslaw.inventionMetalBond lengthCondensed Matter::Materials ScienceChemical physicsComputational chemistrylawvisual_artddc:540visual_art.visual_art_mediumPhysics::Atomic and Molecular ClustersMoleculePhysical and Theoretical ChemistryPhysics::Chemical PhysicsCageJournal of chemical theory and computation
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MADoSPRO: a new approach to molecular modelling studies on a series of DNA minor groove binders

2006

The aim of this work was devoted to develop a method to predict Delta G values for a series of minor groove binders. Starting from a matrix of docking dataset for 10 minor groove binders (known and not) to 20 DNA fragments, with various sequences, it was possible to analyze the interaction modes and to calculate the Delta G value for new derivatives through MADoSPRO procedure. The method allowed, through the QSPR analysis, to characterize the type of interactions in such complexes, that was demonstrated to be related to quantum chemical and electrostatic descriptors, in agreement with the information available in literature on the structural requirements of specific minor groove ligands. Mo…

Quantum chemicalPCAQuantitative structure–activity relationshipChemistryOrganic Chemistryminor groove bindersDNACombinatorial chemistryComputer Science Applicationschemistry.chemical_compoundDocking (molecular)antitumor agentQSPRDrug DiscoveryDNAMinor grooveQSAR & Combinatorial Science
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