Annual Reports in Computational Chemistry provides timely and critical reviews of important topics in computational chemistry as applied to all chemical disciplines. Topics covered include quantum chemistry, molecular mechanics, force fields, chemical education, and applications in academic and industrial settings. Focusing on the most recent literature and advances in the field, each article covers a specific topic of importance to computational chemists.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für Beruf und Forschung
Researchers and students interested in computational chemistry
Maße
Höhe: 229 mm
Breite: 152 mm
Gewicht
ISBN-13
978-0-444-53835-2 (9780444538352)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Herausgeber*in
Department of Chemistry & Biochemistry, Duquesne University, Pittsburgh, PA, USA
Contributors
Section 1: Bioinformatics
Preface Potential Landscape and Flux Framework of Nonequilibrium Biological Networks 1. Introduction
2. Biochemical Oscillation
3. Stem-Cell Differentiation and Development: Arrows of Time
Acknowledgments
Section 2: Simulation Methodologies
Predicting Structural and Functional Properties of Membrane Proteins from Protein Sequence 1. Topologies and 3D Structures of Integral Membrane Proteins
2. Predicting TM Helices from Sequence
3. Predicting Structural Features of Helical TM Proteins
4. Predicting the Exposure Status of TM Residues
5. Topology and Exposure Status Prediction of TMB
6. Functional Classification of GPCRs and Membrane Transporters
7. Outlook
A Review of Coarse-Grained Molecular Dynamics Techniques to Access Extended Spatial and Temporal Scales in Biomolecular Simulations 1. Introduction
2. Energy-Based Approach to Coarse-Graining
3. Force-Matching Approach to Coarse-Graining
4. Mixed Resolution Dynamics
5. Prospective Utilization
6. Outlook and Summary
An Overview of String-Based Path Sampling Methods 1. Introduction
2. Elastic Band Derived Methods
3. Applications
4. Conclusions and Outlook
Constructing and Evaluating Predictive Models for Protein Biophysical Characteristics 1. Introduction
2. Characterizing the Error Distribution
3. Outliers
4. Accurate Model Parameters
5. Conclusion
Supplementary Data
Section 3: Biological Modeling
Extracting Experimental Measurables from Molecular Dynamics Simulations of Membranes 1. Introduction
2. Bilayer Structure
3. Bilayer Dynamics
4. Future Direction: Escaping the Timescale Limits of All-Atom MD
Acknowledgment
Advances in Scalable Computational Chemistry 1. Introduction
2. Software Design
3. Hartree-Fock and Density Functional Theory
4. Gaussian Basis Set HF and DFT
5. Plane-Wave Basis Set DFT
6. CC Methods
7. Perturbation Methods
8. Electron Transfer Methods
9. Relativistic Methods
10. Classical MD Simulation
11. Combined QM/MM
12. Conclusions
Acknowledgments
Section 4: Quantum Chemistry
The Super Instruction Architecture 1. Introduction
2. Productivity for Electronic Structure Science and Engineering
3. Productivity for Method Developers
4. Outlook
Acknowledgments
Section 5: Chemical Education
Electronically Excited States in Interstellar Chemistry 1. Introduction
2. Theoretical Details of Coupled Cluster Excited States
3. Excited States in the ISM: Radicals, Cations, and Anions, Oh My!
4. Conclusions
Acknowledgments
Computational Chemistry of Vision in Vertebrates and Invertebrates 1. Introduction
2. Retinal Proteins
3. Theoretical Framework
4. Spectral Tuning
5. Conclusion
Acknowledgments
A Class Project Combining Organic Chemistry, Quantum Chemistry, and Statistics 1. Background
2. Results and Discussion
3. Conclusions
Notes and Acknowledgment
