The objective of homology modeling is to build a 3D model for a protein of which the structure is unknown (the target) on the basis of sequence similarity to proteins of known structure (the templates). Computational tools provide researchers to understand physic-chemical and structural properties of proteins . A large number of computational tools are available from different sources for making predictions regarding the identification and structure prediction of proteins . The major drawbacks of experimental methods that have been used to characterize the proteins of various organisms are the time frame involved, high cost and the fact that these methods are not amenable to high throughput techniques. In silico approaches provide a viable solution to these problems. The amino acids sequence provides most of the information required for determining and characterizing the molecule’s function, physical and chemical properties. Computationally based characterization of the features of the proteins found or predicted in completely sequenced proteomes is an important task in the search for knowledge of protein functions.
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The objective of homology modeling is to build a 3D model for a protein of which the structure is unknown (the target) on the basis of sequence similarity to proteins of known structure (the templates). Computational tools provide researchers to understand physic-chemical and structural properties of proteins . A large number of computational tools are available from different sources for making predictions regarding the identification and structure prediction of proteins . The major drawbacks of experimental methods that have been used to characterize the proteins of various organisms are the time frame involved, high cost and the fact that these methods are not amenable to high throughput techniques. In silico approaches provide a viable solution to these problems. The amino acids sequence provides most of the information required for determining and characterizing the molecule’s function, physical and chemical properties. Computationally based characterization of the features of the proteins found or predicted in completely sequenced proteomes is an important task in the search for knowledge of protein functions.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yadav Navneet KumarAuthor is Junior Research Fellow and Working in Field of Cancer and computational Biology.The objective of homology modeling is to build a 3D model for a protein of which the structure is unknown (the target) . N° de réf. du vendeur 5498368
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The objective of homology modeling is to build a 3D model for a protein of which the structure is unknown (the target) on the basis of sequence similarity to proteins of known structure (the templates). Computational tools provide researchers to understand physic-chemical and structural properties of proteins . A large number of computational tools are available from different sources for making predictions regarding the identification and structure prediction of proteins . The major drawbacks of experimental methods that have been used to characterize the proteins of various organisms are the time frame involved, high cost and the fact that these methods are not amenable to high throughput techniques. In silico approaches provide a viable solution to these problems. The amino acids sequence provides most of the information required for determining and characterizing the molecule s function, physical and chemical properties. Computationally based characterization of the features of the proteins found or predicted in completely sequenced proteomes is an important task in the search for knowledge of protein functions. N° de réf. du vendeur 9783846549544
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Taschenbuch. Etat : Neu. In-Silico Analysis And Homology Modeling Proteins With MYMIV | Navneet Kumar Yadav | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783846549544 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 106130012
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