Handbook of Chemoinformatics Algorithms

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A01=Andreas Bender
A01=Jean-Loup Faulon
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Adjacency Matrix
advanced chemoinformatics algorithms
Atomic Signature
Author_Andreas Bender
Author_Jean-Loup Faulon
bioinformatics
biological network inference
Burden Matrix
Category=PN
Chemical Graph
chemical informatics
chemical structures
cheminformatics workflows
chemoinformatics algorithms
combinatorial libraries
computational biology
computational drug design
computer-aided molecular design
CPSA
De Novo Design
descriptor
design algorithms
docking methods
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eq_nobargain
eq_non-fiction
eq_science
graph
index
ligand screening techniques
machine learning
Markush Structure
MC
Model Ad
molecular
molecular descriptors
Molecular Graph
molecular property prediction
Open Source Software
Pharmacophoric Points
QSAR
QSAR Model
QSAR Study
quantitative
quantitative structure-activity relationships (QSAR)
relationships
Root Atom
screening
sequence alignment
Smile String
structure activity modelling
structure-activity
Substructure Searching
synthesis design
systems biology
Tanimoto Coefficient
Test Sets
topological
Topological Indices
Training Set
virtual
Virtual Screening

Product details

  • ISBN 9781420082920
  • Weight: 1000g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Apr 2010
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Unlike in the related area of bioinformatics, few books currently exist that document the techniques, tools, and algorithms of chemoinformatics. Bringing together worldwide experts in the field, the Handbook of Chemoinformatics Algorithms provides an overview of the most common chemoinformatics algorithms in a single source.

After a historical perspective of the applications of algorithms and graph theory to chemical problems, the book presents algorithms for two-dimensional chemical structures and three-dimensional representations of molecules. It then focuses on molecular descriptors, virtual screening methods, and quantitative structure–activity relationship (QSAR) models, before introducing algorithms to enumerate and sample chemical structures. The book also covers computer-aided molecular design, reaction network generation, and open source software and database technologies. The remaining chapters describe techniques developed in the context of bioinformatics and computational biology and their potential applications to chemical problems.

This handbook presents a selection of algorithms relevant in practice, making the book useful to those working in the field. It offers an up-to-date account of many algorithmic aspects of chemoinformatics.

Jean-Loup Faulon is a professor in the Department of Biology at the University of Evry in France.

Andreas Bender is an assistant professor in the Leiden/Amsterdam Center for Drug Research (LACDR) at Leiden University in the Netherlands.

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