首頁 產業/市場分類 出版商一覽 Email 通知 GII媒體代理會議 公司簡介 聯絡我們
- English Japanese Korean
首頁 > 市場調查報告書 > 製藥 > 藥物開發 > 活潑化的先導化合物製造:崛起的技術及策略
產業/市場分類
製藥 (4495)
肥胖症治療 (48)
非專利藥 (117)
疫苗 (168)
神經疾病 (175)
骨頭疾病治療 (41)
動物用醫藥 (18)
處方藥 (89)
規章 (107)
感染疾病 (318)
精神病 (80)
製藥企業 (506)
糖尿病 (157)
癌症 (838)
藥物開發 (1275)
DDS (173)
OTC 非處方藥 (147)
市場調查報告書

活潑化的先導化合物製造:崛起的技術及策略

Accelerating Lead Generation: Emerging technologies and strategies

出版商 Business Insights
出版日期 2009年06月 商品編碼 90255
內容資訊 英文 161 pages
價格
US $ 3835 PDF by E-mail (Single User License)
US $ 14381 PDF by E-mail (Global Site License)


活潑化的先導化合物製造:崛起的技術及策略 是由出版商Business Insights在2009年06月所出版的。 這份英文市場調查報告書包含161 pages 價格從美金3835起跳。

簡介

近年來多數新藥及生物製劑的R&D支出雖增加,但也穩定地獲得許可。對製藥企業而言,藥品開發成本效率化是獲得股東確實評價的主要原因。而充實先導化合物製造過程是避免開發後期高價化合失敗的關鍵。

本報告書內容包括:到醫療實驗之前新藥材料品質改善新技術的評價、高度處理效率篩選、利用斷片的藥品開發、虛擬篩選及先導化合物製造的各種方法的優點、衡量未來發展性的詳細調查資訊等。內容綱要摘記如下:

實施概要

  • 介紹
  • 圖書館設計、虛擬篩選、利用斷片的藥品開發
  • 生物學檢查方法的技術創新
  • 先導化合物製造的ADME/Tox
  • 製藥產業的先導化合物製造策略
  • 先導化合物製造的R&D模式、技術創新、未來展望

第1章 介紹

  • 藥品開發流程:定義先導化合物製造
  • 「活性化合物」之發現及驗證
  • 活性化合物最適化
  • 先導化合物最適化
  • 潛在先導化合物的標準

第2章 圖書館設計、虛擬篩選、利用斷片的藥品開發

  • 摘要
  • 介紹
  • 先導活性化合物 - 發現有希望的構造
  • 高度處理效率篩選技術(HTS)的未來發展
  • 利用斷片的藥品開發(FBDD)
  • 虛擬篩選
  • 結論

第3章 生物學檢查法的技術創新

  • 摘要
  • 介紹
  • 改善HTS
  • 針對HTS的體外化驗改善
  • 細胞單位的化驗技術創新
  • 先導化合物製造的活體實験
  • 小動物活體影像及顯微鏡法

第4章 先導化合物製造的ADME/Tox

  • 摘要
  • 介紹
  • 評價ADME特性
  • 先導化合物製造階段的毒物學
  • 結論

第5章 製藥產業的先導化合物製造策略

  • 摘要
  • 介紹
  • 先導化合物的製造小組
  • 事例研究
  • 結論

第6章 先導化合物製造的R&D模式、技術創新、未來展望

  • 摘要
  • 介紹
  • R&D模式:對先導化合物製造的影響
  • 技術創新及未來
  • 先導化合物製造的現在及未來

第7章 附錄

目錄

Abstract

The number of approvals for new drugs and biologics has fallen steadily in recent years, despite increasing R&D expenditure. Cost effective and innovative approaches to drug discovery and development have therefore become particularly important to ensure shareholder value. Improvements to the lead generation process are a key initiative for company' s aiming to avoid expensive compound failures in the latter stages of the drug discovery process. ‘Accelerating Lead Generation: Emerging technologies and strategies' is a new report published by Business Insights that provides an in-depth examination of state-of-the-art technologies for lead generation. This report assesses the potential of new and emerging technologies for improving the quality of drug candidates entering clinical research, and reviews the benefits associated with different approaches to lead generation, including high throughput screening, fragment based drug discovery and virtual screening. The lead generation strategies adopted by leading pharma companies are evaluated to provide strategic recommendations for success, and the trends that are shaping the future acceleration of lead generation are identified.

Table of Contents

Executive Summary

  • Introduction
  • Identifying hits: library design, virtual screening and fragment based drug discovery
  • Innovations in biological assay development
  • ADME and toxicology in lead generation
  • Lead generation strategies in the pharma industry
  • R&D models, innovation and future success of lead generation

Chapter 1 - Introduction

  • The drug discovery process: defining lead generation
  • Hit finding and verification
  • Hit optimization
  • Lead optimization
  • Criteria for potential lead compounds
    • Chemistry
    • Pharmacology
    • Absorption, Metabolism, Excretion, Distribution (ADME) and Toxicity

Chapter 2 - Identifying hits: library design, virtual screening and fragment based drug discovery

  • Summary
  • Introduction
  • Hit to lead - identifying possible structures
  • Compound selection
  • Physiochemical properties
  • Chemical optimization and modification of hits
    • Engineering novelty
  • Beyond HTS - alternative methods for identifying hits
  • Fragment-based drug discovery
  • Companies involved in FBDD
    • Case study: deCODE chemistry & biostructures Inc.
    • Case study: Zenobia Therapeutics
  • Can FBDD generate successful new drugs?
  • Technology improvements driving FBDD
    • Improving x-ray crystallography
    • Improvements in NMR spectroscopy for FBDD
    • High concentration biological assays
    • Improving biophysical methods
    • Improving fragment library design
    • Chemistry-based methods
  • HTS vs FBDD
  • Virtual screening
  • Target based virtual screening
    • Case study: Epix Pharmaceuticals'
  • When to use virtual screening
  • Target based virtual screening: challenges
  • Ligand based screening
  • Commercial virtual screening platforms
  • Conclusions

Chapter 3 - Innovations in biological assay development

  • Summary
  • Introduction
  • Improving high throughput screening
  • Identifying valid hits
  • A quantitative approach to primary screening
    • Compound management and quality assessment
    • Dispensing
  • Informatics and data analysis
  • Improving in vitro assays for HTS
  • Surface plasmon resonance
  • Isothermal titration calorimetry and nanocalorimetry
    • Back-Scattering Interferometry
  • Differential scanning fluorimetry
  • High throughput Mass Spectrometry
  • Bio-layer interferometry
  • Innovations in cell-based assay technology
  • Automated confocal microscopy methods
  • Flow cytometry
  • Laser scanning cytometry
  • Label-free cell-based screens
    • Photonic crystal biosensors
    • Dynamic mass redistribution
    • Impedance-based whole cell biosensors
  • Other cell-based assays
    • Reverse arrays
    • Enzyme Fragment Complementation
  • HCS and SAR
  • Novel cell types and cultures
  • In vivo methods in lead generation
  • Zebrafish
  • Whole animal imaging and microscopy
  • Conclusions

Chapter 4 - ADME and toxicology in lead generation

  • Summary
  • Introduction
  • Assessing ADME characteristics
  • Oral absorption
  • P-Glycoprotein interactions
  • Plasma protein binding
  • Clearance
  • Metabolic stability
  • Selectivity and off-target effects
  • Solubility
  • Toxicology at the lead generation stage
  • In silico structure-toxicity relationships
  • Chemoinformatic methods
  • Toxicogenomics
  • High content screening
  • Zebrafish
  • Whole animal imaging
  • Determining mutagenic and clastogenic potential
  • Measuring HERG liability
  • Investigating CYP inhibition and induction
  • Conclusions

Chapter 5 - Lead generation strategies in the pharma industry

  • Summary
  • Introduction
  • Lead generation teams
  • Case studies
  • Bayer
  • Boehringer Ingelheim
  • Millennium Pharmaceuticals (Takeda)
  • Conclusions

Chapter 6 - R&D models, innovation & future success of lead generation

  • Summary
  • Introduction
  • R&D models: influence on lead generation
  • R&D models
  • Outsourcing and offshoring
  • Dealing with academia
  • Pharma collaboration - ‘Co-opetition'
  • Innovation and the future
  • Targets and HTS
  • Focus on RNA
  • Focus on lead optimization
  • Nanochemistry - returning chemistry to its central role in drug discovery
  • Lead generation now and in the future

Chapter 7 - Appendix

  • Primary research methodology Acknowledgments
  • Glossary
  • Index
  • Bibliography

List of Figures

  • Figure 1.1: Pharma industry productivity decline (1999-2008)
  • Figure 1.2: Patent losses occurring between 2008-2014
  • Figure 1.3: The drug discovery process
  • Figure 1.4: Example of a lead generation workflow
  • Figure 1.5: Technologies involved in lead generation
  • Figure 2.6: Use of structural information in structure-based drug design
  • Figure 2.7: Examples of the chemical structures of compounds discovered using FBDD
  • Figure 2.8: ZoBio' s target immobilized NMR spectroscopy method for fragment-based drug discovery
  • Figure 3.9: Areas of innovation in high throughput screening
  • Figure 3.10: Acoustic droplet ejection
  • Figure 3.11: Attributes required of software for HTS data storage and analysis
  • Figure 3.12: Kinetic characterization of 5 lead series using SPR (Biacore)
  • Figure 3.13: Bio-Layer Interferometry from ForteBio
  • Figure 3.14: Advantages of cell-based screening in HTS
  • Figure 3.15: Principle of detection: cell based assays with the Epic system from Corning
  • Figure 3.16: Principle of the EFC assay for a biochemical target: HitHunter from DiscoveRx
  • Figure 4.17: ADME and toxicology data available in high throughput assays
  • Figure 4.18: The Safety Intelligence Program from BioWisdom
  • Figure 4.19: Examples of assertions in the Safety Intelligence Program from BioWisdom
  • Figure 4.20: A typical toxicogenomics workflow in the pharma industry
  • Figure 5.21: Key innovations in lead generation technologies
  • Figure 5.22: Key activities of medicinal chemists during lead generation
  • Figure 5.23: ADME-Tox traffic light criteria in use at Bayer
  • Figure 5.24: Discovery-Assays-By-Stage paradigm of Millennium Pharmaceuticals
  • Figure 6.25: The microreactor-based lead discovery system

List of Tables

  • Table 2.1: Fragment-based drug discovery: the pros and cons
  • Table 2.2 Techniques used to assess fragment binding for FBDD
  • Table 2.3: Examples of companies with product pipelines derived from FBDD
  • Table 2.4: Examples of compounds discovered using FBDD
  • Table 2.5: Rule of Three criteria for a fragment library
  • Table 2.6: Examples of companies offering fragment libraries and collections for FBDD
  • Table 2.7: Examples of companies offering software for virtual screening
  • Table 3.8: Examples of companies providing software for HTS information storage and analysis
  • Table 3.9: Emerging technologies for high throughput screening
  • Table 3.10: A comparison of free-solution, label-free molecular interaction techniques
  • Table 3.11: Examples of recent collaborations between stem cell companies and big pharma for the use of stem cells in drug discovery research
  • Table 3.12: Advantages and disadvantages of zebrafish for compound screening
  • Table 3.13: Companies offering zebrafish screening products and services
  • Table 3.14: Advantages of molecular imaging of whole animals for preclinical studies
  • Table 3.15: Half lives of important positron emitting isotopes
  • Table 4.16: Examples of contract laboratories offering HCA cytotoxicity screening
  • Table 4.17: Examples of higher throughput or miniaturized versions of the Ames test
  • Table 6.18: Recent examples of academic drug discovery funding by big pharma
Back to Top