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Market Research Report

Lead Optimization Strategies: Future developments, threats and opportunities for big pharma, specialty pharma and biotech

Published by Business Insights Contact us : +1-860-674-8796
Published 2005/09 Content info  
Product code RB34490
Price From  US $ 2875 Order/Price list
US $ 2875 PDF By E-mail (Single User License)
US $ 10782 PDF by E-mail (Global License)
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Description TOC

Table of Contents

Executive Summary

  • The importance of lead optimization
  • Traditional big pharma strategies
  • Alternative strategies used by specialty pharma and biotech
  • Future developments in lead optimization
  • Commercial threats and opportunities

Chapter 1 The importance of lead optimization

  • Summary
  • Introduction
  • Current issues facing the pharmaceutical industry
  • Introduction to lead optimization
    • Hit generation
    • Lead identification
    • Lead optimization
    • Lead optimization in the R&D process
    • Time and costs associated with lead optimization
  • Commercial and clinical importance of lead optimization
  • Lead optimization strategies
    • Traditional big pharma strategies
    • Alternative strategies used by specialty pharma and biotech
    • Differences in strategy

Chapter 2 Traditional big pharma strategies

  • Summary
  • Introduction
  • A typical screening cascade
  • Key strategic components in lead optimization
    • Team organization for lead optimization
      • Medicinal chemistry functionality
    • Sources of hits and leads
      • Proprietary collections
      • Commercial non-exclusive libraries
      • Natural products
      • Academic groups
      • Advantages and disadvantages of hit sources
    • Improving the quality of compound collections
      • Case study 1: AstraZeneca
      • Case study 2: GSK
    • Setting the criteria for hits, leads and candidate drugs
  • Key technologies involved in lead optimization
    • HTS technologies
    • NMR
    • Utility of modeling in lead optimization
      • In silico modeling
      • In vitro modeling
    • Computational chemistry
      • Virtual screening
      • Library design
    • HT protein crystallography
    • Application of molecular biology in lead optimization
    • ADMET screening
      • The role of DMPK in lead optimization
      • Metabolism and covalent binding
      • Toxicity
      • Assays for assessing toxicity
    • HT chemistry
      • Preparative LC-MS chromatography
      • Supercritical Fluid Chromatography (SFC)
  • Outsourcing lead optimization
  • Weaknesses of the traditional lead optimization model
    • Sequential data gathering
    • Single compound synthesis
    • Animal models
  • Conclusions

Chapter 3 Alternative strategies used by specialty pharma & biotech

  • Summary
  • Introduction
  • Alternative lead optimization strategies
  • Mimicking big pharma cascades
    • Polypharmacology
  • Short/partial screening cascades
    • Case Study: ArQule
  • Computational approaches
    • Case study: Locus Pharmaceuticals
  • Alternative approaches to screening
  • HT crystallography
  • Nanotechnology
    • Scanning probe microscopy
    • Nanoparticle formulation
  • Outsourcing lead optimization
  • Lessons from specialty pharma/biotech strategies
  • Conclusions

Chapter 4 Future developments in lead optimization

  • Summary
  • Introduction
  • Key improvement opportunities
  • Reductions in time
    • In silico models
  • Producing fewer compounds of higher quality more efficiently
    • Cheminformatics
  • Bridging the chemistry and target space gap
  • Miniaturization of chemistry
  • More efficient screening cascades
    • Systems biology
    • Zebrafish model
  • Reducing high attrition rates during lead optimization
    • The 'omic revolution: transforming drug discovery
    • Technology developments
  • Lead optimization, 2010-2015
  • Conclusions

Chapter 5 Commercial threats and opportunities

  • Summary
  • Introduction
    • Threats
    • Opportunities
  • Commercial threats
    • Industry consolidation
    • Increased drug safety requirements
    • Avoidance of untested innovative new technologies
    • Drive towards lower risk "me too" drugs
  • Commercial opportunities
    • The genomic revolution
    • Changes to orphan drug legislation
    • Changes in regulatory guidelines: Biomarkers helping to improve the chance
    • of new drug approvals
    • Combinatorial biomarkers aiding efficiency within the D&D process
    • In- and out-Licensing opportunities to create new revenues streams for all
    • players within the industry
  • Conclusions

Chapter 6 Appendix

  • Abbreviations
  • References
  • Index
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