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 only because of improved understanding of the ba...

Full description

Bibliographic Details
Other Authors: Truhlar, Donald G. (Editor), Howe, W. Jeffrey (Editor), Hopfinger, Anthony J. (Editor), Blaney, Jeff (Editor)
Format: eBook
Language:English
Published: New York, NY Springer New York 1999, 1999
Edition:1st ed. 1999
Series:The IMA Volumes in Mathematics and its Applications
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
LEADER 03663nmm a2200337 u 4500
001 EB000618631
003 EBX01000000000000000471713
005 00000000000000.0
007 cr|||||||||||||||||||||
008 140122 ||| eng
020 |a 9781461214809 
100 1 |a Truhlar, Donald G.  |e [editor] 
245 0 0 |a Rational Drug Design  |h Elektronische Ressource  |c edited by Donald G. Truhlar, W. Jeffrey Howe, Anthony J. Hopfinger, Jeff Blaney, Richard E. Dammkoehler 
250 |a 1st ed. 1999 
260 |a New York, NY  |b Springer New York  |c 1999, 1999 
300 |a XII, 213 p  |b online resource 
505 0 |a Panel Discussions -- Important current problems in drug design that may be computationally tractable -- New problems that should be addressed in the next ten years -- Molecular Properties -- Matching of chemical and biological structures using subgraph and maximal common subgraph isomorphism algorithms -- Molecular similarity -- Modeling the effect of solvation on structure, reactivity, and partitioning of organic solutes: Utility in drug design -- Cell-based methods for sampling in high-dimensional spaces -- A preliminary multiobjective analysis of the chemotherapeutic benefits of hairpin-linked polyamides -- Receptor-Based Modeling -- Using structural information for the creative design of molecules -- GrowMol, a de novo computer program, and its application to thermolysin and pepsin: Results of the design and synthesis of a novel inhibitor -- Deducing objective site models by mixed integer programming -- Numerical Methods -- Molecular dynamics information extraction -- Ionic charging free energies using Ewald summation -- Genetic function approximation: Evolutionary construction of novel, interpretable, nonlinear models of experimental data -- Applications of distributed computing to conformational searches 
653 |a Numerical Analysis 
653 |a Mathematical and Computational Biology 
653 |a Biomathematics 
653 |a Numerical analysis 
700 1 |a Howe, W. Jeffrey  |e [editor] 
700 1 |a Hopfinger, Anthony J.  |e [editor] 
700 1 |a Blaney, Jeff  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b SBA  |a Springer Book Archives -2004 
490 0 |a The IMA Volumes in Mathematics and its Applications 
028 5 0 |a 10.1007/978-1-4612-1480-9 
856 4 0 |u https://doi.org/10.1007/978-1-4612-1480-9?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 518 
520 |a 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 only because of improved understanding of the basic science - the biological events and molecular interactions that define a target for therapeutic intervention - but also because of advances in algorithms, representations, and mathematical procedures for studying such processes. This volume surveys some of those advances. A broad landscape of high-profile topics in computer-assisted molecular design (CAMD) directed to drug design are included. Subject areas represented in the volume include receptor-based applications such as binding energy approximations, molecular docking, and de novo design; non-receptor-based applications such as molecular similarity; molecular dynamics simulations; solvation and partitioning of a solute between aqueous and nonpolar media; graph theory; non-linear multidimensional optimization, processing of information obtained from simulation studies, global optimization and search strategies, and performance enhancement through parallel computing