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By Jean-Pierre Doucet, Jacques Weber

ISBN-10: 0080529747

ISBN-13: 9780080529745

ISBN-10: 0122212851

ISBN-13: 9780122212857

The computer-aided layout of novel molecular platforms has absolutely reached the degree of a mature self-discipline providing a wide diversity of instruments on hand to nearly any chemist. notwithstanding, there are few books coveringmost of those thoughts in one quantity and utilizing a language which could as a rule be understood via scholars or chemists with a restricted wisdom of theoretical chemistry. the aim of this booklet is exactly to study, in this kind of language, either methodological points and demanding functions of computer-aided molecular layout (CAMD), with a unique emphasis on drug layout and protein modeling. utilizing a number of examples starting from molecular types to shapes, surfaces, and volumes, Computer-Aided Molecular layout offers insurance of the function molecular pictures play in CAMD. The textual content additionally treats the very suggestion of the constitution of molecular platforms through providing either many of the experimental suggestions giving entry to it and the commonest version developers in keeping with strength fields. Separate chapters are dedicated to different very important issues in CAMD, reminiscent of Monte Carlo and molecular dynamics simulations; commonest quantum chemical equipment; derivation and visualization of molecular homes; and molecular similarity. ultimately, recommendations utilized in protein modeling and drug layout, similar to receptor mapping and the pharmacophore procedure, are offered and illustrated by way of numerous examples. The ebook is addressed to scholars and researchers who desire to input this new fascinating box of molecular sciences, but additionally practitioners in CAMD as a entire resource of clean info of their box. Key positive aspects * provides a complete advent to computer-aided molecular layout * Describes purposes of CAMD by utilizing a variety of examples * Emphasizes ideas utilized in protein modeling and drug layout * contains separate chapters dedicated to different very important themes in CAMD, similar to: * Monte Carlo and molecular dynamics simulations * universal quantum chemical equipment * Derivation and visualization of molecular houses * Molecular similarity

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The GAs work in parallel with a certain number of chromosomes. The set of individuals (solutions, chromosomes) of each generation is called a population. Chromosomes are characterised by their fitness and evolve through successive iterations (generations). A population of solutions is maintained and the evolution plays the role of adaptation of a population to its environment. This adaptation causes the creation of individuals of increasingly higher ‘fitness’. The best solutions are favoured for reproduction every generation and the offspring are then generated from these fit parents using crossover and mutation.

In the case of a HAL, humans may be hung up by the machine, since a dedicated machine or a robot has the same throughput over time, while human effort varies. The varying process times of ALs, lead to buffer sizing problems and resources duplication, etc. The fuzzy logic2 concept can be used to tackle the stochastic nature and the variability of process time [174]. 2 Fuzzy logic is a form of knowledge representation suitable for notions that cannot be defined precisely, but which depend upon their context.

1. Mapping between solution space and search space Generally, the standard chromosome used to represent a solution typically takes the form of a simple string of values called a gene. More formally, a gene can be identified as an equivalence relation over the search space. The particular values that each gene can take are called alleles. For example, if the ‘eye colour’ gene can take values ‘blue’, ‘green’ and ‘brown’ then these are its three possible alleles. The position of a gene in its chromosome is its locus.

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Computer-aided molecular design by Jean-Pierre Doucet, Jacques Weber


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