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Chemoinformatics: Theory, Practice, Products [Hardcover]

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  • Category: Books (Science)
  • Author:  Bunin, Barry A., Siesel, Brian, Morales, Guillermo, Bajorath, J?rgen
  • Author:  Bunin, Barry A., Siesel, Brian, Morales, Guillermo, Bajorath, J?rgen
  • ISBN-10:  1402050003
  • ISBN-10:  1402050003
  • ISBN-13:  9781402050008
  • ISBN-13:  9781402050008
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Mar-2006
  • Pub Date:  01-Mar-2006
  • Pages:  295
  • Pages:  295
  • SKU:  1402050003-11-SPRI
  • SKU:  1402050003-11-SPRI
  • Item ID: 100736650
  • List Price: $169.99
  • Seller: ShopSpell
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  • Delivery by: Oct 09 to Oct 11
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

Chemoinformatics: Theory, Practice & Products is an essential handbook for determining the right Chemoinformatics method or technology to use. There has been an explosion of new Chemoinformatics tools and techniques. Each technique has its own utility, scope, and limitations, as well as meeting resistance to use by experimentalists. The purpose of Chemoinformatics: Theory, Practice & Products is to provide computational scientists, medicinal chemists and biologists with unique practical information and the underlying theories relating to modern Chemoinformatics and related drug discovery informatics technologies.

The book also provides a summary of currently available, state-of-the-art, commercial Chemoinformatics products, with a specific focus on databases, toolkits, and modelling technologies designed for drug discovery. It will be broadly useful as a reference text for experimentalists wishing to rapidly navigate the expanding field, as well asthe more expert computational scientists wishing to stay up to date.

Theory section: Chemoinformatics theory. Chemoinformatics  what is it? Chemo- versus bio-informatics. Scientific origins. Fundamental concepts. Molecular descriptors and chemical spaces. Chemical spaces and molecular similarity.- Molecular similarity, dissimilarity, and diversity. Modification and simplification of chemical spaces. Compound classification and selection. Cluster analysis. Partitioning. Support vector machines. Similarity searching. Structural queries and graphs. Pharmacophores. Fingerprints. Machine learning methods. Genetic algorithms. Neural networks. Library design. Diverse libraries. Diversity estimation. Multi-objective design. Focused libraries. Quantitative structure-activity relationship analysis. Model building. Model evaluation. 3D-QSAR.- 4D-QSAR. Probabilistic methods. Virtual screening and compound filtering. Biologically al#�
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