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In this volume expert researchers detail in silico methods widely used to study peptides. These include methods and techniques covering the database, molecular docking, dynamics simulation, data mining, de novo design and structure modeling of peptides and protein fragments. Chapters focus on integration and application of technologies to analyze, model, identify, predict, and design a wide variety of bioactive peptides, peptide analogues and peptide drugs, as well as peptide-based biomaterials. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Computational Peptidology seeks to aid scientists in the further study into this newly rising subfield.
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In this volume expert researchers detail in silico methods widely used to study peptides. These include methods and techniques covering the database, molecular docking, dynamics simulation, data mining, de novo design and structure modeling of peptides and protein fragments. Chapters focus on integration and application of technologies to analyze, model, identify, predict, and design a wide variety of bioactive peptides, peptide analogues and peptide drugs, as well as peptide-based biomaterials. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Computational Peptidology seeks to aid scientists in the further study into this newly rising subfield.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Computational Peptidology (Methods in Molecular Biology 1268)
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Humana Press 21.01.2015., 2015
ISBN 10: 149392284X
ISBN 13: 9781493922840
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Auflage: 2015. 338 Seiten sehr guter Zustand - innen sehr sauberes ungelesenes Ex. Äußerlich sind am Einband leichte Lagerspuren. Das Papier ist gewellt. 9781493922840 Sprache: Englisch Gewicht in Gramm: 765 25,7 x 17,8 x 2,5 cm, Gebundene Ausgabe. Codice articolo 81904
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Computational Peptidology
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Computational Peptidology
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes cutting-edge methods and protocolsProvides step-by-step detail essential for reproducible resultsContains key notes and implementation advice from the expertsIn this volume expert researchers detail in silico . Codice articolo 4214350
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Computational Peptidology
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this volume expert researchers detail in silico methods widely used to study peptides. These include methods and techniques covering the database, molecular docking, dynamics simulation, data mining, de novo design and structure modeling of peptides and protein fragments. Chapters focus on integration and application of technologies to analyze, model, identify, predict, and design a wide variety of bioactive peptides, peptide analogues and peptide drugs, as well as peptide-based biomaterials. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.Authoritative and practical, Computational Peptidology seeks to aid scientists in the further study into this newly rising subfield. 352 pp. Englisch. Codice articolo 9781493922840
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Computational Peptidology
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Springer New York, Springer New York Jan 2015, 2015
ISBN 10: 149392284X
ISBN 13: 9781493922840
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Buch. Condizione: Neu. Neuware -In this volume expert researchers detail in silico methods widely used to study peptides. These include methods and techniques covering the database, molecular docking, dynamics simulation, data mining, de novo design and structure modeling of peptides and protein fragments. Chapters focus on integration and application of technologies to analyze, model, identify, predict, and design a wide variety of bioactive peptides, peptide analogues and peptide drugs, as well as peptide-based biomaterials. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.Authoritative and practical, Computational Peptidology seeks to aid scientists in the further study into this newly rising subfield.Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 352 pp. Englisch. Codice articolo 9781493922840
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Computational Peptidology (Methods in Molecular Biology, 1268)
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Computational Peptidology
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ISBN 10: 149392284X
ISBN 13: 9781493922840
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this volume expert researchers detail in silico methods widely used to study peptides. These include methods and techniques covering the database, molecular docking, dynamics simulation, data mining, de novo design and structure modeling of peptides and protein fragments. Chapters focus on integration and application of technologies to analyze, model, identify, predict, and design a wide variety of bioactive peptides, peptide analogues and peptide drugs, as well as peptide-based biomaterials. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.Authoritative and practical, Computational Peptidology seeks to aid scientists in the further study into this newly rising subfield. Codice articolo 9781493922840
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