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市場調査レポート

創薬市場におけるケモインフォマティクス

Strategic Analysis of World Cheminformatics in Drug Discovery Markets

発行 Frost & Sullivan
出版日 2005年10月 商品コード 36015
ページ情報 英文 56 pages
価格
こちらの商品の販売は終了いたしました。

当商品の販売は、2011年07月19日を持ちまして終了しました。

原文目次

Abstract

Research Overview

Difficulty to Quantify Exact Benefits Cheminformatics Brings to Drug Discovery Reducing the Marketability

Though cheminformatics tools have been around for a long time, they clearly quantify the productivity increments they bring around in the R&D process. With many pharmaceutical companies tightening their budget for informatics tools, there is a shift in the purchase decisions towards ROI calculations rather than the price. It makes it easier for the decision makers in the pharmaceutical companies to approve purchases of well validated tools, which have a clear business case of good ROI.

Need for Data Integration and Knowledge Management Driving the Demand for the Informatics Tools

The globalisation of research efforts resulted in vast pools of scientific resources spread across the globe for the pharmaceutical needs. There is an increasing need for them to streamline the research efforts and effectively utilise the information which is being created. Informatics tools such as cheminformatics are playing a greater role to bring around integration and knowledge management.

Developments in Computing Hardware Boosting the Uptake of More Complex Chemical Analytical and Modelling Tools

Computer hardware industry is witnessing a quantum jump in the capabilities of computing power of the systems being sold. The systems are not only becoming more powerful, but also cheaper bringing them within the reach of a vast majority of scientists. With this new computing power, scientists are now able to perform complex modeling and simulation exercises such as in-silico design of drugs, virtual screening and docking experiments at speed which were never witnessed before. High performance computing infrastructure in the pharmaceutical companies is bringing around an increased uptake and development of newer and sophisticated tools to effectively utilise this jump in the computing power to solve the drug development challenges.

Table of Contents

  • 1. Executive Summary
    • 1. Summary of Findings
      • 1. Industry Snapshot
  • 2. Exchange Rates and Glossary of Terms
    • 1. Exchange Rates
      • 1. Foreign Exchange Rates
    • 2. Glossary of Terms
      • 1. Glossary
  • 3. Cheminformatics Overview
    • 1. Introduction
      • 1. Introduction to Cheminformatics
    • 2. Overview
      • 1. Market Overview
    • 3. Application Areas of Cheminformatics
      • 1. Main Applications
  • 4. Industry Challenges
    • 1. Overview
      • 1. Introduction
    • 2. Challenges and Issues
      • 1. Challenges
  • 5. Market Engineering Research for World Cheminformatics Market
    • 1. Market Overview
      • 1. Overview
    • 2. Market Segmentation
      • 1. Segmentation
    • 3. Market Engineering Measurements for World Cheminformatics Market
      • 1. Market Engineering Measurements
    • 4. Market Drivers for World Cheminformatics Market
      • 1. Market Drivers
    • 5. Market Restraints for World Cheminformatics Market
      • 1. Market Restraints
    • 6. World Cheminformatics Market - Revenue Forecasts
      • 1. Revenue Forecasts
    • 7. World Cheminformatics Markets - Geographical Trends
      • 1. Geographic Contributions
    • 8. World Cheminformatics Markets - Technology Trends
      • 1. Technical Trends
    • 9. World Cheminformatics Market - Competitive Structure
      • 1. Competitive Structure
  • 6. Market Engineering Measurements for Data Management and Analysis Tools Segment
    • 1. Background
      • 1. Introduction
    • 2. Market Overview
      • 1. Overview
    • 3. Revenue Forecasts
      • 1. Market Revenues
  • 7. Market Engineering Measurements for Predictive Tools Segment
    • 1. Introduction
      • 1. Market Introduction
    • 2. Market Overview
      • 1. Overview
    • 3. Revenue Forecasts
      • 1. Forecasts
  • 8. Market Engineering Strategic Recommendations
    • 1. Strategic Recommendations
      • 1. Possible Recommendations
  • 9. Database of Key Industry Participants
    • 1. Database of Key Industry Participants
      • 1. Industry Participants
  • 10. Decision Support Databases
    • 1. Pharmaceutical R&D Expenditure
      • 1. R&D Expenditure of Pharmaceutical Companies
    • 2.Biotech Companies and Number of Employees
      • 1. Number of Biotech Companies 2. Number of Employees in Biotech Companies
    • 3. Government R&D Expenditure
      • 1. R&D Expenditure of Government
    • 4. Private R&D Investment in Biotechnology
      • 1. R&D Investment in Private Biotech Sector
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