Schlick, Tamar.

Molecular Modeling and Simulation: An Interdisciplinary Guide An Interdisciplinary Guide / [electronic resource] : by Tamar Schlick. - Second. - XLV, 723p. online resource. - Interdisciplinary Applied Mathematics, 21 0939-6047 ; . - Interdisciplinary Applied Mathematics, 21 .

Biomolecular Structure and Modeling: Historical Perspective -- Biomolecular Structure and Modeling: Problem and Application Perspective -- Protein Structure Introduction -- Protein Structure Hierarchy -- Nucleic Acids Structure Minitutorial -- Topics in Nucleic Acids Structure: DNA Interactions and Folding -- Topics in Nucleic Acids Structure: Noncanonical Helices and RNA Structure -- Theoretical and Computational Approaches to Biomolecular Structure -- Force Fields -- Nonbonded Computations -- Multivariate Minimization in Computational Chemistry -- Monte Carlo Techniques -- Molecular Dynamics: Basics -- Molecular Dynamics: Further Topics -- Similarity and Diversity in Chemical Design.

ZDB-2-SMA

Review of previous edition: ǣI am often asked by physicists, mathematicians and engineers to recommend a book that would be useful to get them started in computational molecular biology. I am also often approached by my colleagues in computational biology to recommend a solid textbook for a graduate course in the area. Tamar Schlick has written the book that I will be recommending to both groups. Tamar has done an amazing job in writing a book that is both suitably accessible for beginners, and suitably rigorous for experts.ǥ J. J. Collins, Boston University, USA. ǣMolecular modeling Ǫ is now an important branch of modern biochemistry. Ǫ Schlick has brought her unique interdisciplinary expertise to the subject. Ǫ One of the most distinguished characteristics of the book is that it makes the reading really fun Ǫ and the material accessible. Ǫ a crystal clear logical presentation Ǫ . Schlick has added a unique title to the collection of mathematical biology textbooks Ǫ . a valuable introduction to the field of computational molecular modeling. It is a unique textbook Ǫ .ǥ Hong Qian, SIAM Review, 2005.

9781441963512

10.1007/978-1-4419-6351-2 doi


Mathematics.
Biochemical engineering.
Computer simulation.
Biochemistry.
Mathematics.
Mathematical and Computational Biology.
Biochemical Engineering.
Simulation and Modeling.
Biochemistry, general.
Biophysics and Biological Physics.

QH323.5 QH324.2-324.25

570.285