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Reportlinker Adds Virtual Pharma
Date:11/3/2010

NEW YORK, Nov. 3, 2010 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Virtual Pharma

http://www.reportlinker.com/p0324750/Virtual-Pharma.html

Systems Biology in Biotech and PharmaA new paradigm for innovationGrowth in the pharmaceutical market has slowed – almost to a standstill. One reason is that governments and other payers are cutting costs in a faltering world economy.

But a more fundamental problem is the failure of major companies to discover, develop and market new drugs. Major drugs losing patent protection or being withdrawn from the market are simply not being replaced by new therapies – the pharmaceutical market model is no longer functioning effectively and most pharmaceutical companies are failing to produce the innovation needed for success.

This new report looks at a vital strategy which can bring innovation to a market in need of new ideas and new products - Systems Biology.

Systems Biology employs a rational approach, via a mix of analytical and systemic routes, to delineate the emerging properties of biological networks. It aims to explain and predict, quantitatively, molecular, cellular, tissue, organ and whole-body processes. By using multi-scale models in silico, Systems Biology is expected to bring numerous benefits to pharmaceutical discovery and development as the properties of a system can be studied over a wide range of length and time scales.

Systems Biology can reduce the number of compounds that need to be synthesised in discovery by using refined algorithms to weed out compounds with poor pharmacokinetic of toxicology profiles. And it will save time and money by selecting the drugs which are more likely to succeed in clinical development.

This new 200 page report is written by industry and academic expert Dr Ales Prokop, one of the leading researchers in Systems Biology. It will enable you to:

  • Understand the nature and processes involved in Systems Biology
  • See how its benefits relate to pharmaceutical innovation
  • Delineate the costs and cost savings involved
  • Understand why Systems Biology improves on current approaches to drug discovery
  • Relate Systems Biology to advances in genetic profiling and personalised medicine

  • Contents include:

  • Tools and lead optimisation
  • Virtual chemistry screening
  • Lead discovery and molecular interactions
  • In silico screening
  • Computational Systems Biology in cell biology
  • Pharmacology and pharmacokinetics
  • Formulation and production
  • Model-based drug development

  • Systems Biology is essential reading for corporate management and those in product, process and analytical discovery and development, product quality and characterisation, R&D, and regulatory affairs. It is aimed at biotech, big pharma, producers of biosimilars, contract manufacturers, providers of analytical services, and clinical research organizations. This report gives an authoritative, detailed and clear explanation of the issues surrounding Systems Biology, its implications for the market and for the biotech and pharmaceutical industries.

    Table of Contents Systems Biology in Biotech & Pharma: A Changing Paradigm Executive Summary

    Chapter 1 – Discovery: New Developments, Tools & Lead Optimization

    Summary

    Introduction

    Scope & Content of the Report

    Drug Discovery & Development

    Defining SB: Key Components

    Brief History of Systems Biology (SB) in Terms of Key Advances

    Potential Impact of Systems Biology on Pharma R&D and Cost Savings

    Overall Conclusions

    Chapter 2 – Discovery: Towards Virtual Chemistry Screening

    Summary

    Introduction

    Identifying Targets & Druggability Space

    Combinatorial Chemistry Tools

    Diversity Tools

    Diversity-Oriented Synthesis & Discovery

    Differentially Expressed Proteins

    Phage Display

    Chirality Tools

    Homology Tools at Discovery

    Homology Modeling

    Cheminformatics

    Fragment Based DD

    Qualitative and Quantitative Screens & Filters

    Structure-Activity Methods (SAR/QSAR)

    Summary on Chemistry Tools at Drug Discovery: Key Findings & Opportunities

    Overall Conclusions

    Chapter 3 – Biochemistry: Phase 1 Lead Discovery & Molecular Interactions

    Summary

    Introduction

    Molecular Screens: Receptor-Liganed (R-L) Interaction & Molecular Modeling

    Molecular Modeling

    Quantum Chemistry

    Molecular Mechanics

    Molecular Dynamics

    Receptor Based QSAR Methods

    Biomimetics (BioMim)

    Collateral Efficacy & Permissive Antagonism

    Co-Drugging: Multiple Targets, Combination Therapy & Multi-Stage Targeting

    Multi-Component Drugs

    Multi-Target Approach

    Multi-Stage Targeting

    Text Mining For Interactions

    Employment of Biochemical Networks

    Overview of Deterministic Models

    Emergence

    Reactome

    Bioinformatics

    Summary on Biochemical Tools: Key Findings & Opportunities

    Conclusions

    Chapter 4 – Molecular Biology: Phase 2 Lead Discovery & In Silico Screening

    Introduction

    Summary

    Introduction

    OMICs

    Metabolomics

    Metabolic Profiling

    Peptidome

    Proteome Analysis

    Chemogenomics

    Morphogenics

    Minimal Phenotype & Synthetic Biology

    Reconstructing Biological Networks

    Summary on Molecular Biology Tools: Key Findings & Opportunities

    Overall Conclusions

    Chapter 5 – Discovery: Computational Systems Biology in Cell Biology

    Summary

    Cellular Environment: Network Reconstruction & Inference From Experimental Data

    Reconstructing Gene Networks

    Data Mining

    Analysis of Disease Correlation Network™ & Concerted Metabolic Activation

    Challenges For Stem Cells: Control

    Emergent Properties

    Computational Systems Biology

    Summary on Quantitative CSB Tools: Key Findings & Opportunities

    Overall Conclusions

    Chapter 6 – Development: Pharmacology & Pharmacokinetics

    Summary

    Introduction

    In Vivo Pharmacology

    Animal Disease Models

    Gene Knockout Animal Models

    Pheno- & Genotyping

    RNA Interference

    Pharmacogenomics

    In Silico Pharmacology: Future

    Summary on In Vivo Pharmacology: Key Findings & Opportunities

    Conclusions

    Chapter 7 – Development: Pharmacokinetics

    Summary on PK Quantitative Simulation Tools: Key Findings & Opportunities

    Summary

    Introduction

    Towards In Silico Systems, PK & Toxicology

    Microdosing in PK

    Adaptive Trial Design

    Equilibrium vs. Non-Equilibrium PK Models

    Toxicity Biomarkers

    In Silico Toxicity Prediction

    Quantitative PK-PD/Tox Modeling

    Conclusions

    Chapter 8 – Development: Multiscale CSB

    Summary

    Introduction

    Redefining (& Discovering) Emergent Properties at Higher-Level Hierarchies

    Virtual Organs, Disease Models, Virtual Patient

    Population Level Model: Towards Individualized Medicine

    Targeting Networks: Towards Organisimc & Full-Scale Quantitative Design

    Redefining the Traditional R&D Paradigm

    Summary of Multiscale CSB: Key Findings & Opportunities

    Conclusions

    Chapter 9: Development: Drug Formulation & Manufacturing

    Summary

    Introduction

    Drug Formulation & Delivery

    Targeting Concept & Mechanisms

    Nanoscale Drug Delivery Systems

    CSB at Formulation & Delivery

    Summary of Drug Formulation: Key Finding & Opportunities

    Conclusions

    Process Design & Production

    Summary

    Introduction

    Metabolic Engineering

    Parallel Cultivation Methods for Bioprocessing

    Bioprocess & Equipment Scale-Up

    Qualitative Systems Tools

    Rule of Thumb

    Towards Quantitative Production Design

    Summary on Design & Production: Key Findings & Opportunities

    Conclusions

    Chapter 10: Development: Preclinical Model Based Drug Development

    Summary

    Introduction

    Summary of the Clinical Model: Key Findings & Opportunities

    Conclusion

    Chapter 11: Systems Biology: Impact on Pharma

    Summary

    Introduction

    R&D Strategies & Investment

    Blockbuster vs. Niche Model

    Pharma vs. Biotech Model

    Outsourcing & In-Licensing

    Life Cycle Management Growth

    Diversification Growth

    Franchise Development Growth

    New Market Entry Growth

    Alliances & Collaborations: Key Players

    Bibliography & Endnote

    Regulation & Intellectual Property

    Global Regulation: Critical Path Initative (FDA)

    Intellectual Property (IP)

    Summary on R&D Strategies & Investment, Alliances & Collaborators and Regulation & Intellectual Property

    Chapter 12: Report Conclusions

    Summary

    Report Conclusions

    Report Summary & Suggestions

    Key Technologies & Tools Needed for Development of Systems Biology/CSB

    Steps in Systems Biology/CSB

    Benefits of Systems Biology & CSB

    Acknowledgement

    To order this report:Pharmaceutical Industry: Virtual Pharma

    Pharmaceutical Business News

    More  Market Research Report

    Check our  Company Profile, SWOT and Revenue Analysis!CONTACT:  Nicolas BombourgReportlinkerEmail: nbo@reportlinker.comUS: (805)652-2626Intl: +1 805-652-2626
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