Figure 1. Biotechnology sector’s knowledge base

Slides:



Advertisements
Similar presentations
Dr Claes Wilhelmsson Executive Director Research & Development Innovation and the life sciences.
Advertisements

The Drug Discovery Process
The Role of Drug Metabolism Studies in Optimizing Drug Candidates
Integrative Organs Systems Scientists and Drug Discovery: The Link Between Big Pharma and Academia Glenn A. Reinhart, Ph.D. Senior Group Leader Integrative.
Bioinformatics: a Multidisciplinary Challenge Ron Y. Pinter Dept. of Computer Science Technion March 12, 2003.
Stefan Franzén Introduction to clinical trials.
Doug Brutlag 2011 Genomics, Bioinformatics & Medicine Drug Development
The South African Malaria Initiative A Case Study E Jane Morris Bridging the Gap in Global Health Innovation - from Needs to.
Important Points in Drug Design based on Bioinformatics Tools History of Drug/Vaccine development –Plants or Natural Product Plant and Natural products.
Drug discovery and development
Obtaining and Negotiatiing a Position in Industry/Biotech Roy G. Smith Ph.D. Director, Huffington Center on Aging Professor, Department of Molecular and.
Figure 4.1 NEW PRODUCT DEVELOPMENT PROCESS Finance Corporate strategy and portfolio decisions Regulatory affairs Marketing and sales + market research.
Knowledgebase Creation & Systems Biology: A new prospect in discovery informatics S.Shriram, Siri Technologies (Cytogenomics), Bangalore S.Shriram, Siri.
Asia’s Largest Global Software & Services Company Genomes to Drugs: A Bioinformatics Perspective Sharmila Mande Bioinformatics Division Advanced Technology.
Stefan Franzén Introduction to clinical trials.
Business Value of SW in Drug Discovery Eric Neumann, W3C HCLSIG co-chair Teranode Corporation F2F Cambridge MA.
TOPICS IN (NANO) BIOTECHNOLOGY
Strategies for developing India as a contract research hub Swaminathan Subramaniam Chief Operating Officer Aurigene Discovery Technologies.
Drug Discovery Primary objective-
ECCR Overview/MLSCN. NIH Roadmap Series of initiatives designed to pursue major opportunities in biomedical research and gaps in current knowledge that.
Joe Pekny, Professor Chemical Engineering Director, e-Enterprise Center Discovery Park Marietta Harrison, Professor Medicinal Chemistry & Molecular Pharmacology.
1 PLEASING CLIENTS AT A MOLECULAR AND CELLULAR LEVEL AUGUST 7, 2015.
Figure 1.1. Industry Value Chain Problem to be solved Technology innovation Basic research Applied research Pilot phase (Prod dev) Application phase (Production)
Drug Discovery & Development
신기술 접목에 의한 신약개발의 발전전망과 전략 LGCI 생명과학 기술원. Confidential LGCI Life Science R&D 새 시대 – Post Genomic Era Genome count ‘The genomes of various species including.
전통적인 신약 개발 과정.
Molecular Modeling in Drug Discovery: an Overview
Physiochemical properties of drugs Some background to the Sirius T3.
독성학 박 대 훈 한약재산업학과
Modern Drug Discovery for Dummies KSEA-NE Symposium March 1, 2008 Taeyoung Yoon.
Page 1 Computer-aided Drug Design —Profacgen. Page 2 The most fundamental goal in the drug design process is to determine whether a given compound will.
Lipinski’s rule of five
SciLifeLab DDD Platform – built for function
Drug UCIBIO Maria João Ramos
Genomics A Systematic Study of the Locations, Functions and Interactions of Many Genes at Once.
FP6 Priority 1, Life Sciences Genomics and Biotechnology for Health
High Throughput Screening for Tuberculosis at NCL
APPLICATIONS OF BIOINFORMATICS IN DRUG DISCOVERY
Biotechnology Objectives: At the end of this lecture we will be able to identify and describe the uses of biotechnology in society.
Important Points in Drug Design based on Bioinformatics Tools
Bioinformatics in Drug Design
Bioinformatics Applications
Rational Drug Design Dr SANTOSH MOKALE. Professor,
Food Chemicals Toxicity
Branko Stefanovic Biomedical Sciences
Lixia Yao, James A. Evans, Andrey Rzhetsky  Trends in Biotechnology 
Pluripotent stem cell models of cardiac disease and their implication for drug discovery and development  Richard P. Davis, Cathelijne W. van den Berg,
Benjamin Wooden, Nicolas Goossens, Yujin Hoshida, Scott L. Friedman 
Standards Development for Metabolomics
The increasing availability of quantitative biological data from the human genome project, coupled with advances in instrumentation, reagents, methodologies,
Volume 25, Issue 3, Pages (March 2017)
Important Points in Drug Design based on Bioinformatics Tools
Drug Design and Drug Discovery
Publishers of Quality Research
Department of Biochemistry and Molecular Biology
How Chemoproteomics Can Enable Drug Discovery and Development
Chemical Dimerizers and Three-Hybrid Systems
FP6 Priority 1, Life Sciences Genomics and Biotechnology for Health
Consortium: National networks in 16 European countries.
Success rates in validation of antibodies from external providers
Protein microarrays for validation of antibodies.
Consortium: National networks in 16 European countries.
Volume 21, Issue 9, Pages (September 2014)
A Suppression Strategy for Antibiotic Discovery
Pluripotent stem cell models of cardiac disease and their implication for drug discovery and development  Richard P. Davis, Cathelijne W. van den Berg,
Genome‐scale metabolic models (GEMs) provide a scaffold for integrative analysis of clinical data. Genome‐scale metabolic models (GEMs) provide a scaffold.
Pharmacogenomics and Personalized Medicine in Neuropsychiatry
Considerations for Successful Biopharmaceutical Product Development: Discovery to Proof of Concept -A Panel Discussion Stanley C. McDermott, PharmD, MS,
Genome-wide Functional Analysis Reveals Factors Needed at the Transition Steps of Induced Reprogramming  Chao-Shun Yang, Kung-Yen Chang, Tariq M. Rana 
Biotechnology & Bioinformatics
Presentation transcript:

Figure 1. Biotechnology sector’s knowledge base Target Identification EST, Expression Arrays, Positional cloning, SNPs, Proteomics, Transcriptomics, Transgene, Pathway Analysis, Animal Models, Konck-in/out, Systems bioloy, Cheomogenomics, Structural genomics, Homology Modeling, Bioinformatics, Phage display, Metabolomics, Antisense, RNAi, Microarrays Target Discovery Target Validation Lead Identification Combinatorial Chemistry, Chemical Libraries, Natural Products, In silico modeling, Microtechnology, Robotics, Microassys, Detection systems, Chemoinformatics, Molecular Modeling, Medicinal Chemistry, ADME (Absorption, Distribution, Metabolism, Excretion), Toxicity, High Throughput Screening, High Throughput Profiling Drug Discovery Lead Optimization Pre-clinical & Development Candidate Development Toxoicogenomics, Pharmacogenomics, Pharmacogenetics, Animal testing, Carcinogenicity, Biomarkers, Cell-based assays

Information Management Knowledge Generation Reiteration Technology Sourcing Information Management Knowledge Generation Exploration Organizational framework Exploitation Firm based on sole technology: Competitive Positioning Firm based on knowledge accumulation: Competitive Sustainability Flexibility: Revision of initial business plan in face of uncertainty Figure 2. Organizational learning process in the drug discovery process

Combinatorial Chemistry Harmonization Structural Biology Information Generation Harmonization Information Toxicity Generation I NTEGRAT ON Harmonization Information ADME Generation Harmonization Information Profiling Generation PROCESS ING Harmonization Generation Information HTS Harmonization Knowledge Creation Generation Information Microarray Harmonization Generation Proteomics Information Harmonization Generation Information Genomics Harmonization Functional Genomics Generation Information Harmonization Combinatorial Chemistry Generation Information Harmonization Figure 3 In silico Chemistry Generation Information

Information Management Discovery & Preclinical phases Development & Approvals phases Information Management - Standardization - Data Integrity Knowledge Generation - Integration - Processing Phase 1 Phase 2 Phase 3 Regulatory Reiteration - Identification - Selection - Validation Technology Sourcing Figure 4