Introduction to homology modelling of anti fungal metabolites

CHF 61.55
Auf Lager
SKU
A2J3CVU897R
Stock 1 Verfügbar
Geliefert zwischen Mi., 26.11.2025 und Do., 27.11.2025

Details

Comparative modelling is the modern technique in Bioinformatics. With the increase in information about genome sequences, we need to use computational techniques to handle this huge amount of data. A key goal of structural biology is to predict the three dimensional structure from the sequence, a quest that has not yet been realized. In addition, protein modeling is the only way to obtain structural information if experimental techniques fail. Many proteins are simply too large for NMR analysis and cannot be crystallized for X-ray diffraction. This book describes the antifungal metabolites function, then the homology modeling using modeler, validation of these predicted models using different techniques like Ramachandran plots, Qmean plots. These models are also submitted in protein database and were assigned with accession numbers. Future investigations are also explained in this book which will help in understanding the worth of this technique.

Autorentext

BioinformaticsComsats Institute of Information TechnologyIslamabad

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783847338185
    • Auflage Aufl.
    • Sprache Englisch
    • Genre Psychologie
    • Größe H220mm x B150mm x T6mm
    • Jahr 2012
    • EAN 9783847338185
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-8473-3818-5
    • Titel Introduction to homology modelling of anti fungal metabolites
    • Autor Maria Batool , Fauzia Yusuf Hafeez , Muhammad Nadeem Hassan
    • Untertitel Modeller, Ramachandran Plots
    • Gewicht 159g
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 96

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470