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Tamar Schlick

    Computational methods for macromolecules
    Molecular modeling and simulation
    Molecular Modeling and Simulation: An Interdisciplinary Guide
    • Molecular Modeling and Simulation: An Interdisciplinary Guide

      An Interdisciplinary Guide

      • 772pages
      • 28 heures de lecture
      4,0(4)Évaluer

      This textbook offers a comprehensive introduction to computational molecular biology, making it suitable for both beginners and experts. Tamar Schlick combines her interdisciplinary expertise to present complex concepts in an engaging and accessible manner. The book is praised for its clear logical structure and ability to make learning enjoyable, making it an essential resource for physicists, mathematicians, engineers, and graduate students in the field. Its unique approach sets it apart in the realm of mathematical biology literature.

      Molecular Modeling and Simulation: An Interdisciplinary Guide
    • Molecular modeling and simulation

      • 656pages
      • 23 heures de lecture
      3,9(9)Évaluer

      Very broad overview of the field intended for an interdisciplinary audience; Lively discussion of current challenges written in a colloquial style; Author is a rising star in this discipline; Suitably accessible for beginners and suitably rigorous for experts; Features extensive four-color illustrations; Appendices featuring homework assignments and reading lists complement the material in the main text

      Molecular modeling and simulation
    • POLYMER NEWS REVIEW BY ANDRZEJ KLOCZKOWSKI, BAKER CENTER FOR BIOINFORMATICS AND BIOLOGICAL STATISTICS, IOWA STATE UNIVERSITY „The authors of the articles in the book are the top specialists in their fields and the book presents the current state of the art for the broad spectrum of all currently used methods and techniques of macromolecular modeling. The book might be very useful for all readers interested in the computational modeling of macromolecules. Several articles in the book cover different aspects of protein modeling, so I would highly recommend this book to all readers interested in modeling of proteins.“

      Computational methods for macromolecules