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Foreword | ||
Preface | ||
Important current problems in drug design that may be computationally tractable | 1 | |
New problems that should be addressed in the next ten years | 7 | |
Matching of chemical and biological structures using subgraph and maximal common subgraph isomorphism algorithms | 11 | |
Molecular similarity | 39 | |
Modeling the effect of solvation on structure, reactivity, and partitioning of organic solutes: Utility in drug design | 51 | |
Cell-based methods for sampling in high-dimensional spaces | 73 | |
A preliminary multiobjective analysis of the chemotherapeutic benefits of hairpin-linked polyamides | 81 | |
Using structural information for the creative design of molecules | 93 | |
GrowMol, a de novo computer program, and its application to thermolysin and pepsin: Results of the design and synthesis of a novel inhibitor | 103 | |
Deducing objective site models by mixed integer programming | 115 | |
Molecular dynamics information extraction | 127 | |
Ionic charging free energies using Ewald summation | 149 | |
Genetic function approximation: Evolutionary construction of novel, interpretable, nonlinear models of experimental data | 163 | |
Applications of distributed computing to conformational searches | 191 |
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Add Rational Drug Design, Drug research and discovery are of critical importance in human health care. Computational approaches for drug lead discovery and optimization have proven successful in many recent research programs. These methods have grown in their effectiveness not onl, Rational Drug Design to your collection on WonderClub |