La découverte de médicaments et ses principes sont d'une importance cruciale dans les soins de santé humaine et le besoin de nouveaux médicaments augmente également. Les approches informatiques pour la découverte et l'optimisation des dérivations médicamenteuses ont augmenté dans leur efficacité en ce qui concerne les événements biologiques et les interactions moléculaires qui définissent une cible d'intervention thérapeutique. Le domaine d'application de la conception de médicaments assisté par ordinateur le plus direct dans la construction de modèles de corrélation est l'analyse quantitative structure activité (QSAR). Au cœur de la construction des QSAR est l'extraction maximale d'informations à partir d'ensembles de données qui sont fortement sursouscrits, c'est-à-dire pour lesquels le nombre de variables indépendantes est beaucoup plus grand que le nombre de variables dépendantes utilisées dans les applications de l'analyse comparative du champ moléculaire (CoMFA). La découverte de médicaments est le vaste domaine d'étude des nouveaux médicaments découverts sur la base des différentes stratégies de conception des médicaments, en particulier avec des applications informatiques, leurs interactions avec les récepteurs grâce à la stratégie d'amarrage, les études QSAR, le concept de conception rationnelle des médicaments, la cartographie basée sur les pharmacophores, l'identification et la validation des cibles, l'identification et l'optimisation des leads.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Drug Discovery and its principles are of critical importance in human health care and the need for new drugs is also increasing. Computational approaches for discovery and optimization of drug leads have grown in their effectiveness with regard to biological events and molecular interactions that define a target for therapeutic intervention. The most direct computer aided drug design application area in correlation model construction is Quantitative structure activity relationship (QSAR) analysis. Central to the construction of QSARs is the maximum extraction of information from data sets which are highly oversubscribed, that is, for which the number of independent variables is much greater than the number of dependent variables as used in the applications of Comparative molecular field analysis (CoMFA). Drug discovery is the broad area of study of new drugs discovered based on the various strategies of designing the drugs especially with computer applications, their receptor interactions through docking strategy, QSAR studies, Concept on Rational drug design, Pharmacophore based mapping, Target identification and validation, Lead identification and optimization. 272 pp. Englisch. N° de réf. du vendeur 9786139981441
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Drug Discovery and its principles are of critical importance in human health care and the need for new drugs is also increasing. Computational approaches for discovery and optimization of drug leads have grown in their effectiveness with regard to biological events and molecular interactions that define a target for therapeutic intervention. The most direct computer aided drug design application area in correlation model construction is Quantitative structure activity relationship (QSAR) analysis. Central to the construction of QSARs is the maximum extraction of information from data sets which are highly oversubscribed, that is, for which the number of independent variables is much greater than the number of dependent variables as used in the applications of Comparative molecular field analysis (CoMFA). Drug discovery is the broad area of study of new drugs discovered based on the various strategies of designing the drugs especially with computer applications, their receptor interactions through docking strategy, QSAR studies, Concept on Rational drug design, Pharmacophore based mapping, Target identification and validation, Lead identification and optimization. N° de réf. du vendeur 9786139981441
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Taschenbuch. Etat : Neu. Fundamental Principles Of Drug Discovery | K. Nagarajan (u. a.) | Taschenbuch | 272 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139981441 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 115190549
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Drug Discovery and its principles are of critical importance in human health care and the need for new drugs is also increasing. Computational approaches for discovery and optimization of drug leads have grown in their effectiveness with regard to biological events and molecular interactions that define a target for therapeutic intervention. The most direct computer aided drug design application area in correlation model construction is Quantitative structure activity relationship (QSAR) analysis. Central to the construction of QSARs is the maximum extraction of information from data sets which are highly oversubscribed, that is, for which the number of independent variables is much greater than the number of dependent variables as used in the applications of Comparative molecular field analysis (CoMFA). Drug discovery is the broad area of study of new drugs discovered based on the various strategies of designing the drugs especially with computer applications, their receptor interactions through docking strategy, QSAR studies, Concept on Rational drug design, Pharmacophore based mapping, Target identification and validation, Lead identification and optimization.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 272 pp. Englisch. N° de réf. du vendeur 9786139981441
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | Drug Discovery and its principles are of critical importance in human health care and the need for new drugs is also increasing. Computational approaches for discovery and optimization of drug leads have grown in their effectiveness with regard to biological events and molecular interactions that define a target for therapeutic intervention. The most direct computer aided drug design application area in correlation model construction is Quantitative structure activity relationship (QSAR) analysis. Central to the construction of QSARs is the maximum extraction of information from data sets which are highly oversubscribed, that is, for which the number of independent variables is much greater than the number of dependent variables as used in the applications of Comparative molecular field analysis (CoMFA). Drug discovery is the broad area of study of new drugs discovered based on the various strategies of designing the drugs especially with computer applications, their receptor interactions through docking strategy, QSAR studies, Concept on Rational drug design, Pharmacophore based mapping, Target identification and validation, Lead identification and optimization. N° de réf. du vendeur 33402447/1
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