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In Silico Models for Drug Discovery [Hardcover]

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  • Category: Books (Science)
  • ISBN-10:  1627033416
  • ISBN-10:  1627033416
  • ISBN-13:  9781627033411
  • ISBN-13:  9781627033411
  • Publisher:  Humana
  • Publisher:  Humana
  • Pages:  265
  • Pages:  265
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Mar-2013
  • Pub Date:  01-Mar-2013
  • SKU:  1627033416-11-SPRI
  • SKU:  1627033416-11-SPRI
  • Item ID: 100803201
  • List Price: $169.99
  • Seller: ShopSpell
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  • Delivery by: Jan 22 to Jan 24
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Infectious diseases caused by viruses, parasites, bacteria, and fungi are the number one cause of death worldwide. Although new technologies have improved diagnosis of infectious diseases, the efficacy of all known current anti-infective agents is threatened by the spread of drug-resistant forms of the pathogens. Hence, there remains an urgent need to develop anti-infective agents that target drug-resistant pathogens. In Silico Models for Drug Discovery presents a comprehensive look at the role in silico models play in understanding infectious diseases and in developing novel therapeutics to treat them. Written by leading experts in the field, chapters cover topics such as techniques to derive novel antimicrobial targets, methods of interpreting polypharmacology-based drug target networks, and molecular dynamics techniques used to compute binding energies of drugs to their target proteins, to name a few. Written in the successful Methods in Molecular Biology series or in review article format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.

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Authoritative and easily accessible, In Silico Models for Drug Discovery seeks to serve both professionals and novices involved in the study and treatment of infectious diseases.

This Methods in Molecular Biology book surveys in silico models, offering techniques to derive novel antimicrobial targets and methods for computing binding energies of drugs to their target proteins, plus protocols, materials lists, known pitfalls and more.

1. Virtual Screening in Drug Design

Markus Lill

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2. In Silico Systems Biology Approaches for the Identification of Antimicrobilc`

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