This book covers two parts: Computer Chemistry and Molecular Design. It presented several approaches employed in molecular design step by step. Molecular graph and presentation as the start point, it introduced several methods of Computer Chemistry concerned with molecular design: property recognition of chemical structure, artificial neural network and data analysis.Computer-aided molecular design has the relationship with drug discovery, pesticide design, food chemistry, environment chemistry and so on. This book can be a reference for the people who is engaged or interested in computer-aided molecular design.
作者簡介
暫缺《計算機化學(xué)與分子設(shè)計》作者簡介
圖書目錄
1 Numeric Analysis 1.1 Linear Algebraic Equations and Matrix 1.1.1 Square Matrix 1.1.2 Elementary Operations on Matrices 1.1.3 Inverse Matrices 1.2 Differential Equations 1.2.1 Cauchy Problem 1.2.2 Discrete One-Step Methods for Equations of First Order Principles 1.2.3 Discrete Methods with Multiple Steps for Differential Equations of Order 1 Problems 2 Minimization 2.1 One-dimensional Minimization 2.1.1 Golden Section Search 2.1.2 Parabolic Interpolation: Brents Method 2.2 Multidimensional Minimization 2.2.1 Downhill Simplex (Nelder et Mead, 1965) 2.2.2 Direction Set Method (Powells Method) 2.2.3 Conjugate Directions 2.2.4 Powells Quadratically Convergent Method: Find N Conjugate Directions 2.2.5 Gradient and the Steepest Descent Method 2.2.6 Newton-Raphson Method Problems 3 Ab Initio 3.1 SchrSdinger Equation 3.2 Haxtree-Fock Theory 3.3 Post-SCF Methods 3.3.1 Configuration Interaction 3.3.2 Moller-Plesset Perturbation Theory 3.4 Gaussian 3.4.1 Capabilities 3.4.2 Overview of Geometry Optimizations 3.4.3 Model Chemistries 3.4.4 Basis Sets 3.4.5 Limitations 3.5 Example of Applications Problem 4 Density Functional Theory and Applications 4.1 Theoretical Aspects 4.1.1 Hohenberg-Kohn Theorems 4.1.2 Kohn-Sham Theory 4.1.3 Exchange-Correlation Functionals 4.2 Comparison with Traditional Ab Initio Methods... 4.3 Applications 4.3.1 Atoms 4.3.2 Clusters 4.3.3 Carbonyl Complexes 4.3.4 Other Applications Problems 5 Semi-Empirical Models 5.1 Extended Hiickel Theory (EHT) 5.2 CNDO Method 5.3 INDO Method 5.4 MINDO Method 5.5 MNDO Method 5.6 AM1 and PM3 Methods 5.7 Example of Applications 5.7.1 Proposed Problem 5.7.2 Calculations 5.7.3 Conclusion 6 Molecular Mechanics 6.1 Stereochemistry 6.1.1 Constitution Isomers and Tautomers 6.1.2 Stereoisomers 6.2 Principle of Molecular Mechanics 6.3 Mathematical Expressions of Energy Terms 6.3.1 Bond Stretching Energy 6.3.2 Angle Bending Energy 6.3.3 Torsion Energy 6.3.4 Improper Torsions and Out-of-plane Bending Motions. 6.3.5 Cross Terms: Class 1, 2 and 3 Force Fields 6.3.6 Energy of Non-binding Interactions 6.4 Force Fields 6.4.1 Parameterization Methods 6.4.2 SYBYL and TRIPOS Force Field 6.4.3 KOLLMAN Force Field 6.4.4 JUMNA and FLEX Force Field 6.5 Application Example 6.5.1 Problem to be Solved Problems 7 Molecular Dynamics 7.1 Molecular Dynamics with Simple Models 7.2 Molecular Dynamics with Continuous Potentials 7.3 Verlet Algorithm 7.4 Variations of Verlet Algorithm 7.5 Predictor-Corrector Integration Methods 7.6 Choosing the Time Step 7.7 Multiple Time Step Dynamics 7.8 Constraint Dynamics 7.9 Steps of Molecular Dynamics Simulation 7.10 Time-dependent Properties 7.11 Example of Applications Problems 8 Monte Carlo and Conformational Analysis 8.1 Monte Carlo 8.1.1 Calculations of Properties 8.1.2 Theory of Metropolis MC(MMC) 8.1.3 Implementation of MMC 8.1.4 Simulation of Molecules 8.2 Conformational Analysis 8.2.1 Conformational Search 8.2.2 Model-building Approaches 8.2.3 Random Search Methods 8.2.4 Distance Geometry 8.2.5 Other Approaches Problems 9 Molecular Graph and Presentation 9.1 Generality in Molecular Graph 9.2 Molecular Description 9.2.1 Computer Representation of Two-dimensional Chemical Structures 9.2.2 Connection Table 9.3 Sub-Structures and FREL 9.3.1 Extraction of FREL 9.3.2 Correlation of FREL with Properties 9.4 Canonical Numbering 9.5 Three-dimensional Representation of Molecular Structures ... 9.6 XML Representation 9.6.1 Principles of XML 9.6.2 XML for Structuring the Information Problem 10 Ring Perception 10.1 Graphs and Searching Methods 10.1.1 Graphs and Molecular Graphs 10.1.2 Depth-First Search 10.1.3 Breadth-First Search 10.2 Complete Ring Systems 10.2.1 Defined Terms 10.2.2 Number of Rings in SSSR 10.3 Zamoras Algorithm 10.4 Elimination Technique Problems 11 Constitutional Equivalence 11.1 Morgan Algorithm 11.2 Munk Algorithm 11.3 Riicker Algorithm 11.4 Varmuza Algorithm 11.5 Fans Method 11.6 Application to Canonical Numbering Problem 12 Molecular Relative Symmetry 12.1 Relative Symmetry 12.2 Determination of Dissimilarity 12.3 Calculations 12.4 Examples 12.5 Application Examples: Empirical Rules Problem 13 Isomorphism and 3D CSS Searches 13.1 Ullmans Algorithm 13.2 Crandell and Smiths Algorithm 13.3 Clique-Detection Algorithm 13.4 Lesks Algorithm 13.5 Set-Reduction Algorithm Problems 14 Chemical Information Management and Exploration 14.1 Concept 14.2 Source of Chemical Information 14.3 Management of Chemical Information 14.4 Data Mining and Spectral Simulation Problems 15 Molecular Similarity and Diversity 15.1 Approaches on Molecular Similarity and Diversity 15.2 Selection, Classification and Validation Methods 15.3 Comparative Analysis of Approaches/Descriptors-Models Comparison 15.4 Applications in Chemo- and Bio- Informatics Problems 16 Artificial Neural Networks: Biological Fundamental and Modeling 16.1 Introduction 16.2 Biological Fundamental 16.3 Modeling 16.4 Structure of Connections Problems 17 Layered Network 17.1 Mono-Layered Associative Network 17.2 Back-Propagation Learning Algorithm 17.3 Radial Basis Function Networks Problems 18 Hopfield Network 18.1 Modeling 18.2 Application to Optimization Procedures 18.3 Boltzmann Machine Problems 19 Kohonen Network 19.1 Structure of SOM 19.2 The Learning Process 19.3 Examples and Applications Problem 20 Genetic Algorithms and Their Applications in Chemistry 20.1 Optimization and Techniques 20.2 Simple Genetic Algorithm 20.3 Mathematical Fundamental 20.4 Application of SGA to QSAR Problem 20.5 Other Application of GA to Chemistry Problems Problems 21 Support Vector Machine (SVM) 21.1 SVM in Classification 21.2 Regression SVM 21.3 Applications Problems