Molecular docking is a computational method to study the formation of intermolecular complexes of one small molecule ligand (drug lead) with a macromolecule, which usually is a protein (drug target) of known three dimensional structure. Four different types of interactions between the molecules can be distinguished such as 1) protein-protein; 2) protein-DNA; 3) DNA-ligand and 4) protein-ligand. In recent years, the availability of three dimensional (3D) structures for many macromolecular drug targets (proteins) and rapid advancement in computational chemistry and bioinformatics, both in vitro and in silico serve a new novel platform for the development as well as exploring modern computational methods. When the 3 D structure of the macromolecular target is known, then the design of the computational library can be customized to suit the geometry of the binding site. Moreover, identifying binding sites and protein-ligand interactions using bioinformatics tools before venturing into wet laboratory studies saves the energy, time and money considerably.
"synopsis" may belong to another edition of this title.
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Molecular docking is a computational method to study the formation of intermolecular complexes of one small molecule ligand (drug lead) with a macromolecule, which usually is a protein (drug target) of known three dimensional structure. Four different types of interactions between the molecules can be distinguished such as 1) protein-protein; 2) protein-DNA; 3) DNA-ligand and 4) protein-ligand. In recent years, the availability of three dimensional (3D) structures for many macromolecular drug targets (proteins) and rapid advancement in computational chemistry and bioinformatics, both in vitro and in silico serve a new novel platform for the development as well as exploring modern computational methods. When the 3 D structure of the macromolecular target is known, then the design of the computational library can be customized to suit the geometry of the binding site. Moreover, identifying binding sites and protein-ligand interactions using bioinformatics tools before venturing into wet laboratory studies saves the energy, time and money considerably. 60 pp. Englisch. Seller Inventory # 9786139967759
Seller: Books Puddle, Woodside, NY, U.S.A.
Condition: New. Seller Inventory # 26375896701
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand. Seller Inventory # 370148770
Quantity: 4 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18375896695
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Molecular docking is a computational method to study the formation of intermolecular complexes of one small molecule ligand (drug lead) with a macromolecule, which usually is a protein (drug target) of known three dimensional structure. Four different types of interactions between the molecules can be distinguished such as 1) protein-protein; 2) protein-DNA; 3) DNA-ligand and 4) protein-ligand. In recent years, the availability of three dimensional (3D) structures for many macromolecular drug targets (proteins) and rapid advancement in computational chemistry and bioinformatics, both in vitro and in silico serve a new novel platform for the development as well as exploring modern computational methods. When the 3 D structure of the macromolecular target is known, then the design of the computational library can be customized to suit the geometry of the binding site. Moreover, identifying binding sites and protein-ligand interactions using bioinformatics tools before venturing into wet laboratory studies saves the energy, time and money considerably. Seller Inventory # 9786139967759
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Narayanaswamy RadhakrishnanDr. Radhakrishnan Narayanaswamy is currently working as Associate Professor (Department of Biotechnology) and facilitator for Bio Incubator, Vel Tech Technology Incubator, Vel Tech Rangarajan Dr. Sagunthal. Seller Inventory # 261128645
Quantity: Over 20 available
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Molecular docking is a computational method to study the formation of intermolecular complexes of one small molecule ligand (drug lead) with a macromolecule, which usually is a protein (drug target) of known three dimensional structure. Four different types of interactions between the molecules can be distinguished such as 1) protein-protein; 2) protein-DNA; 3) DNA-ligand and 4) protein-ligand. In recent years, the availability of three dimensional (3D) structures for many macromolecular drug targets (proteins) and rapid advancement in computational chemistry and bioinformatics, both in vitro and in silico serve a new novel platform for the development as well as exploring modern computational methods. When the 3 D structure of the macromolecular target is known, then the design of the computational library can be customized to suit the geometry of the binding site. Moreover, identifying binding sites and protein-ligand interactions using bioinformatics tools before venturing into wet laboratory studies saves the energy, time and money considerably.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Seller Inventory # 9786139967759
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Drug lead identification using molecular docking approach | Case study | Radhakrishnan Narayanaswamy | Taschenbuch | 60 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139967759 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 115130004