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The Tools & Techniques of Drug Discovery: Bioinformatics

Published by: BioInformatics, LLC

Published: Jun. 1, 2002 - 123 Pages


Table of Contents


Section 1. Executive Overview & Introduction

  • Among the Study’s Key Findings



Section 2. Study Methodology & Demographics

  • Objectives
  • Comments
  • Definition of Terms
  • Market Segment
  • Organization Size
  • Laboratory Size
  • Region
  • Job Position
  • Area(s) of Research Expertise
  • Questionnaire Used to Conduct the Study



Section 3. Significant Findings

  • Product Use & Application
  • Product Expectations
  • Technology & Suppliers



Section 4. Presentation of Survey Data


Product Use & Application


  • Current use of bioinformatics tools and/or services
  • Major objective of drug discovery research
  • Arrangement in which bioinformatics needs are met
  • Primary reason for using a specified arrangement to meet bioinformatics needs
  • Type of bioinformatics system primarily used
  • How bioinformatics system is primarily maintained
  • Average number of hours devoted to bioinformatics per week
  • Percentage of time spent performing basic bioinformatics applications
  • Techniques/technologies for which bioinformatics are used
  • Type(s) of analysis performed using bioinformatics
  • Other scientists/teams that regularly share bioinformatics data
  • Future use of bioinformatics



Product Expectations

  • Most influential features in decision to use one bioinformatics tool and/or service over another
  • Most influential factor in decision to purchase one bioinformatics tool and/or service over another
  • Most significant performance limitation/operational problem experienced when using bioinformatics tools and/or services
  • Most valuable improvement to bioinformatics software
  • Most valuable improvement to bioinformatics hardware



Technologies & Suppliers

  • “Top-of-mind” company/supplier for products and services for bioinformatics
  • Estimated percentage of current total annual budget for products/services dedicated to bioinformatics tools
  • Estimated percentage of future total annual budget for products/services dedicated to bioinformatics tools
  • Preferred supplier of bioinformatics software
  • Familiarity with bioinformatics software companies
  • Estimated percentage of current total annual budget for products/services dedicated to bioinformatics software
  • Estimated percentage of future total annual budget for products/services dedicated to bioinformatics software
  • Familiarity with companies that provide sequence data
  • Preferred supplier of bioinformatics hardware
  • Estimate percentage of current total annual budget for products/services dedicated to bioinformatics hardware
  • Estimate percentage of future total annual budget for products/services dedicated to bioinformatics hardware
  • Additional comments as to where suppliers should focus their efforts to better meet needs in the area of bioinformatics



Section 5. Cross Tabulations of Survey Data

  • Questions and answer choices tabulated against Market Segment, Region, Area(s) of Research or other relevant questions.



Section 6. Appendix

  • Other Published Reports
  • About BioInformatics
  • Our Valued Clients


Abstract

Rather than providing a broad overlook of the drug discovery market, BioInformatics’ series, The Tools & Techniques of Drug Discovery, looks in-depth at six different market segments though the eyes of a worldwide panel of research scientists. Based on a 29-question survey, Bioinformatics is the second of six titles in the series and specifically focuses on bioinformatics—the science of organizing and analyzing complex biological data.

Bioinformatics has proven indispensable for applying genomic technologies to drug discovery and development. Today, pharmaceutical and life sciences companies are placing increasing emphasis on bioinformatics investments in order to gain a competitive advantage in the drug discovery process. To secure this investment, an assessment of how computational tools and techniques are being employed in the laboratory is absolutely vital. The objective of this report is to provide feedback from researchers regarding the integral role bioinformatics plays in genomics-based drug discovery.

The importance of bioinformatics as an enabling technology is now widely recognized as high-throughput laboratory methods for assessing sequences, gene and protein expression, and protein structure has vastly increased the amount of data generated. Scientists are relying on bioinformatics during every step of the drug discovery and development process in an effort to comprehend biological and disease mechanisms, identify new targets and to select and design novel drugs. Unfortunately, while methods for sequencing, measuring expression, and assessing structure have achieved high-throughput capacity via automation, the means by which data is analyzed are typified by low-throughput and manual operations. Many existing computational tools, while still effective, are rapidly reaching the limits of their ability to smooth the progress of the drug discovery process.

Bioinformatics is a critical component for ensuring the success of companies applying genomic tools to drug discovery and development. Bioinformatics suppliers that offer software solutions that integrate data analysis with visualization tools will have an advantage in the market because they effectively supply the means to simplify and accelerate the drug discovery process. The information in Bioinformatics will offer insights into the software and hardware needs of drug discovery researchers and provide suggestions as to how the collection, storage, cataloging, analysis and sharing of massive amounts of data can be improved.

Objectives
The major objectives of this report are as follows:

  • Examine the use and applications of bioinformatics hardware and software.
  • Determine the features that are influential in purchasing one bioinformatics system over another.
  • Identify the preferred suppliers of hardware, software and services.
  • Establish the parameters for quality in bioinformatics tools.
  • Understand—from the user’s perspective—the level of satisfaction with current products and any unmet needs in the area of bioinformatics.



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