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Business Intelligence Gateway Development Project  A Beta-Test of Drug Discovery Opportunity Identification
Goal: To delineate drug discovery opportunities in a field of interest to multiple pharmaceutical companies utilizing structured data searching software for the Drug Discovery Center of Innovation and identify Chinese gateways for The Hamner Institute Field: Oncology – Pathways that regulate the fate of cancer stem cells
Objectives: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is the value of VantagePoint? 1 day 1 second Data Retrieval Speed Fast Slow Company Affiliations Yes No Quick Identification of Targets Yes No Author Networks Yes No Region Specificity 253 1,280,000+ Number of Records Search:  “ Novel oncology target” Worldwide 2008-2010 data
Process: Team:  Pete Geisen, Brian Ridout, Jonathan Dancy   Tools: VantagePoint software (version 6.1) Query Journal Databases (Pubmed, Web of Science) Data collection – duplicate identification and removal Data Collection Quality Control Identification of Major Authors in each sub-field (eg. methods, compounds, etc) Discovery of specific novel targets, methods and compounds using pattern recognition Additional Search Terms and QC
Search Terms Cancer + Stem Cancer + Stem + Cells Cancer + Progenitor Stem + Cell(s) + Biology Stem + Cell(s) + Targeted + Therapy Subpopulation + Cells Self-renewal Method + Cancer + Isolation Quality Control Cancer + Stem  Cancer + Progenitor 13,586 records China USA Unique Targets Novel  Compounds Novel Models/ Assays (933 records) (5,843 records) Objectives: Identify research conducted since 2008   Databases Medline (Pubmed) Web of Science Unique Targets Novel  Compounds Novel Models/ Assays (37) (8) (15) (247) (67) (89)
Objective 2: Identify researchers in China that: (A) Are working on novel or unique targets    Initial Query: Records Target:  220 Pathway: 161 Approach: 87 Platform: 5 Avenue: 25 Pattern Recognition: “ Novel”, “New” or “Unique” ,[object Object],[object Object],China records: 933 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Objective 2: Identify researchers in China that: (B) Are working on novel or unique compounds/regulators    Initial Query: Records Compound:  23 Drug: 161 Peptide: 87 Regulator: 96 Pattern Recognition: “ Novel”, “New” or “Unique” ,[object Object],[object Object],[object Object],China records: 933 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Objective 2: Identify researchers in China that: (C) Are working on novel or unique models/assays    Initial Query: Records Assay: 181 Model: 186 Construct: 30 System: 193 Therapy: 271 Vaccine: 10 Pattern Recognition: “ Novel”, “New” or “Unique” ,[object Object],[object Object],[object Object],[object Object],China records: 933 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
China NC Univ Affiliations Author Network UNC Duke Wake Forest Med Univ SC Objective 2: Identify researchers in China that: (D) Are working with NC Investigators    ,[object Object],[object Object],[object Object],[object Object]
China Corporate Affiliations Author List ,[object Object],[object Object],Objective 2: Identify researchers in China that: (E) have ties to companies working in that field   Companies: AmCellGene Co Ltd Appl Biosyst Inc Automated Cell Inc Beijing Vital River Lab Anim Inc Vitalriver Lab Anim Inc Capitalbio Corp Changzhou Qianhong BioPharma Ltd Co Biomed Sci Inc Genentech Inc GlaxoSmithKline Inc Mosaiques Diagnost & Therapeut AG Nitto Denko Tech Co Pentapharm Ltd Rosetta Inpharmat LLC Sequenom Inc Shenzhen Shengjie Biotech Co Ltd Suiseikai Inc Ulm Gemeinnuetzige GmbH Union Stem Cell & Gene Engn Co Ltd Most Cited Authors: Deng, Hongkui Shi, Cheng Yang, Weifeng Most Cited Institutions: Chinese Acad Med Sci Fudan University Peking Union Med Coll Peking University
Objective 3: Identify researchers in the US that: (A) Are working on novel or unique targets    ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Initial Query: Records Target:  1585 Pathway: 1202 Approach: 764 Platform: 99 Avenue: 293 Pattern Recognition: “ Novel”, “New” or “Unique” ,[object Object],[object Object],[object Object],[object Object],[object Object],US records: 5,843 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Objective 3: Identify researchers in the US that: (B) Are working on novel or unique compounds/regulators    Initial Query: Records Compound:  157 Drug: 1167 Peptide: 274 Regulator: 768 Pattern Recognition: “ Novel”, “New” or “Unique” ,[object Object],[object Object],[object Object],[object Object],[object Object],US records: 5,843 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Objective 3: Identify researchers in the US that: (C) Are working on novel or unique models/assays    Initial Query: Records Assay: 626 Model: 1566 Construct: 192 System: 1431 Therapy: 1906 Vaccine: 97 Pattern Recognition: “ Novel”, “New” or “Unique” ,[object Object],[object Object],[object Object],[object Object],[object Object],US records: 5,843 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Objective 4: List of new targets, compounds, or assays of interest to pharmaceutical companies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Business Intelligence Gateway Development Project Beta-Test

  • 1. Business Intelligence Gateway Development Project A Beta-Test of Drug Discovery Opportunity Identification
  • 2. Goal: To delineate drug discovery opportunities in a field of interest to multiple pharmaceutical companies utilizing structured data searching software for the Drug Discovery Center of Innovation and identify Chinese gateways for The Hamner Institute Field: Oncology – Pathways that regulate the fate of cancer stem cells
  • 3.
  • 4. What is the value of VantagePoint? 1 day 1 second Data Retrieval Speed Fast Slow Company Affiliations Yes No Quick Identification of Targets Yes No Author Networks Yes No Region Specificity 253 1,280,000+ Number of Records Search: “ Novel oncology target” Worldwide 2008-2010 data
  • 5. Process: Team: Pete Geisen, Brian Ridout, Jonathan Dancy Tools: VantagePoint software (version 6.1) Query Journal Databases (Pubmed, Web of Science) Data collection – duplicate identification and removal Data Collection Quality Control Identification of Major Authors in each sub-field (eg. methods, compounds, etc) Discovery of specific novel targets, methods and compounds using pattern recognition Additional Search Terms and QC
  • 6. Search Terms Cancer + Stem Cancer + Stem + Cells Cancer + Progenitor Stem + Cell(s) + Biology Stem + Cell(s) + Targeted + Therapy Subpopulation + Cells Self-renewal Method + Cancer + Isolation Quality Control Cancer + Stem Cancer + Progenitor 13,586 records China USA Unique Targets Novel Compounds Novel Models/ Assays (933 records) (5,843 records) Objectives: Identify research conducted since 2008 Databases Medline (Pubmed) Web of Science Unique Targets Novel Compounds Novel Models/ Assays (37) (8) (15) (247) (67) (89)
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.