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E-raamat: Annual Reports in Computational Chemistry

Edited by (Department of Chemistry & Biochemistry, Duquesne University, Pittsburgh, PA, USA), Edited by (Department of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, CA, USA)
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Annual Reports in Computational Chemistry is a new periodical providing 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. Each volume is organized into (thematic) sections with contributions written by experts. Focusing on the most recent literature and advances in the field, each article covers a specific topic of importance to computational chemists. Annual Reports in Computational Chemistry is a 'must' for researchers and students wishing to stay up-to-date on current developments in computational chemistry.

In Volume 3, topics covered include Simulation Methodologies (Carlos Simmerling), Biological and Biophysical Applications (Heather Carlson), Chemical Education (Theresa Zielinski), Materials and Polymers (Jeffry Madura), Quantum Chemistry (T. Daniel Crawford), and Emerging Technologies (Wendy Cornell). With this volume we extend the practice of cumulative indexing of both the current and past editions in order to provide easy identification of past reports.

* Broad coverage of computational chemistry and up-to-date information
* Topics covered include quantum chemistry, molecular mechanics, force fields, chemical education, and applications in academic and industrial settings
* Each chapter reviews the most recent literature on a specific topic of interest to computational chemists
Contributors ix
Preface xiii
Section 1: Simulation Methodologies (Section Editor: Carlos Simmerling)
Molecular Simulations of pH-Mediated Biological Processes
3(12)
Jana Khandogin
Charles L. Brooks
Introduction
3(1)
Static Structure Based pKa Prediction Methods
4(1)
Molecular Dynamics Coupled with Acid-Base Titration
5(2)
Applications of CPHMD
7(3)
Summary and Outlook
10(5)
Acknowledgement
11(1)
References
11(4)
Extending Atomistic Time Scale Simulations by Optimization of the Action
15(16)
A.S. Clarke
S.M. Hamm
A.E. Cardenas
Introduction
15(7)
Applications
22(3)
Conclusions
25(6)
Acknowledgements
26(1)
References
27(4)
Fishing for Functional Motions with Elastic Network Models
31(10)
A.J. Rader
Introduction
31(1)
Background
32(1)
Identification of Functional Motions
33(1)
Detailed EN Models
34(2)
Merging EN Models and MD Simulations
36(1)
Summary & Future Prospects
36(5)
References
37(4)
Alchemical Free Energy Calculations: Ready for Prime Time?
41(22)
Michael R. Shirts
David L. Mobley
John D. Chodera
Introduction
41(1)
Background
42(1)
Equilibrium Methods
43(2)
Nonequilibrium Methods
45(1)
Intermediate States
46(2)
Sampling
48(3)
Applications
50(1)
Conclusion
51(12)
Acknowledgements
53(1)
References
53(10)
Section 2: Biological and Biophysical Applications (Section Editor: Heather Carlson)
Linear Quantitative Structure--Activity Relationships for the Interaction of Small Molecules with Human Cytochrome P450 Isoenzymes
63(22)
Thomas Fox
Jan M. Kriegl
Introduction
63(1)
The Cytochrome P450 Superfamily
64(2)
Methodological Overview
66(2)
Applications
68(5)
Discussion and Outlook
73(12)
References
75(10)
Section 3: Chemical Education (Section Editor: Theresa Zielinski)
Observations on Crystallographic Education
85(14)
Phillip E. Fanwick
Introduction
85(1)
Objectives for Teaching Crystallography
86(3)
Bragg's Law
89(1)
Relating Crystallography to Chemistry
90(6)
Creativity
96(2)
Conclusions
98(1)
References
98(1)
Achieving a Holistic Web in the Chemistry Curriculum
99(38)
Henry S. Rzepa
Introduction: The Impact of the Web on the Chemistry Curriculum
99(2)
Background: The Trend Towards an Accumulation of Acrobat
101(2)
The Properties of a PDF Collection
103(3)
Formal Metadata Based Approaches
106(5)
The Concept of Document Re-Use
111(2)
Data as the Intel Inside
113(5)
Towards the Holistic Approach: The Podcast
118(3)
The Wiki
121(16)
Conclusion
131(1)
References
132(5)
Section 4: Materials and Polymers (Section Editor: Jeffry Madura)
The Role of Long-Time Correlation in Dissipative Adsorbate Dynamics on Metal Surfaces
137(18)
Jeremy M. Moix
Rigoberto Hernandez
Introduction
137(3)
Classical Surface Diffusion
140(3)
Molecular Dynamics Simulations and Projective Models
143(3)
Summary and Conclusions
146(9)
Acknowledgements
147(1)
References
147(8)
Section 5: Quantum Chemistry (Section Editor: T. Daniel Crawford)
An Active Database Approach to Complete Rotational--Vibrational Spectra of Small Molecules
155(22)
Attila G. Csaszar
Gabor Czako
Tibor Furtenbacher
Edit Matyus
Introduction
155(3)
Nonadiabatic Computations---Where Theory Delivers
158(1)
MARVEL---An Active Database Approach
158(2)
Electronic structure computations
160(5)
Variational Nuclear Motion Computations
165(4)
Outlook
169(8)
Acknowledgement
169(1)
References
169(8)
The Effective Fragment Potential: A General Method for Predicting Intermolecular Interactions
177(18)
Mark S. Gordon
Lyudmilla Slipchenko
Hui Li
Jan H. Jensen
Introduction
177(1)
EFP2 Theory
178(5)
Example Applications
183(7)
Summary and Future Developments
190(5)
Acknowledgements
191(1)
References
191(4)
Gaussian Basis Sets Exhibiting Systematic Convergence to the Complete Basis Set Limit
195(14)
Kirk A. Peterson
Introduction
195(1)
Correlation Consistent Basis Sets: A Review
196(4)
Recent Advances in Correlation Consistent Basis Sets
200(3)
Conclusions
203(6)
Acknowledgements
203(1)
References
203(6)
Section 6: Emerging Technologies (Section Editor: Wendy Cornell)
Principles of G-Protein Coupled Receptor Modeling for Drug Discovery
209(20)
Irache Visiers
Introduction
209(2)
Homology Models of Rhodopsin-Like GPCRs
211(8)
Ab Initio Methods
219(1)
Modeling the Activated State
220(2)
Conclusions
222(7)
Acknowledgement
222(1)
References
222(7)
Index 229(4)
Cumulative Index Vols 1--2 233


David Spellmeyer is a Biotechnology Executive and Entrepreneur with over 30 years of broad experience in the life sciences industry. He is Principal at Interlaken Associates where he works closely with both early-stage companies and venture capital firms to build and lead strong pre-clinical R&D scientific teams focused on establishing scientific proof-of-concept for novel innovations. David is also an adjunct Associate Professor of Pharmaceutical Chemistry at the University of California San Francisco (UCSF). He has been actively involved in the entrepreneurship and innovation ecosystem supporting founders, students, post-docs, and faculty, serving as a mentor in programs at UCSF, California Life Sciences Institutes FAST programs, California State Universitys CSUPERB, UC Davis MentorNet, and as a reviewer for NIH SBIR/STTR Study Sections. David has recently served as CSO at Circle Pharma, an Executive-in-Residence at Pandect Biosciences, head of Quality for a diagnostics company, and an executive advisor for several startups. Prior to building Interlaken Associates, he held positions at DuPont Pharma (BMS), Chiron (Novartis), Signature BioScience, Nodality, and IBM Research. David works very closely with business development teams and has completed over 20 non-dilutive strategic corporate partnerships, several mergers, acquisitions, and joint ventures and participated in several rounds of venture financing. He received his BS in computer science and chemistry from Purdue University and his PhD in theoretical organic chemistry from UCLA and completed his post-doctoral training in pharmaceutical chemistry at UCSF.