WO2005027012A3 - System and method for the computer-assisted identification of drugs and indications - Google Patents

System and method for the computer-assisted identification of drugs and indications Download PDF

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Publication number
WO2005027012A3
WO2005027012A3 PCT/GB2004/003851 GB2004003851W WO2005027012A3 WO 2005027012 A3 WO2005027012 A3 WO 2005027012A3 GB 2004003851 W GB2004003851 W GB 2004003851W WO 2005027012 A3 WO2005027012 A3 WO 2005027012A3
Authority
WO
WIPO (PCT)
Prior art keywords
computer
indications
drugs
axes
dimensional coordinate
Prior art date
Application number
PCT/GB2004/003851
Other languages
French (fr)
Other versions
WO2005027012A2 (en
WO2005027012A8 (en
Inventor
Andrew Hopkins
Colin Groom
Mark Burfoot
Jerry Lanfear
Lee Harland
Ian Parsons
Mark Zaretti
Lee Beeley
Tony Parsons
Original Assignee
Pfizer
Pfizer Ltd
Andrew Hopkins
Colin Groom
Mark Burfoot
Lee Harland
Jerry Lanfear
Ian Parsons
Mark Zaretti
Tony Parsons
Lee Beeley
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Pfizer, Pfizer Ltd, Andrew Hopkins, Colin Groom, Mark Burfoot, Lee Harland, Jerry Lanfear, Ian Parsons, Mark Zaretti, Tony Parsons, Lee Beeley filed Critical Pfizer
Priority to EP04768398A priority Critical patent/EP1668555A2/en
Publication of WO2005027012A2 publication Critical patent/WO2005027012A2/en
Publication of WO2005027012A3 publication Critical patent/WO2005027012A3/en
Publication of WO2005027012A8 publication Critical patent/WO2005027012A8/en

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
    • G16B50/10—Ontologies; Annotations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20—Supervised data analysis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B45/00—ICT specially adapted for bioinformatics-related data visualisation, e.g. displaying of maps or networks
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Bioethics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Biophysics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Epidemiology (AREA)
  • Evolutionary Computation (AREA)
  • Public Health (AREA)
  • Software Systems (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

A pharmaceutical knowledge base is provided that contains multiple information items stored in at least one computer. Pharmaceutical knowledge is represented in a multi-dimensional coordinate space having at least first, second and third axes, where the first axis pertains to diseases, the second axis pertains to targets, and the third axis pertains to drug compounds. Pharmaceutical knowledge may be mapped into the multi-dimensional coordinate space by assigning each information item one or more locations in the space, dependent upon the data contained within the information item. This mapping may then be used to reveal hitherto unappreciated connections between the axes, such as the potential use of a particular compound or target for treating a certain disease.
PCT/GB2004/003851 2003-09-16 2004-09-09 System and method for the computer-assisted identification of drugs and indications WO2005027012A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP04768398A EP1668555A2 (en) 2003-09-16 2004-09-09 System and method for the computer-assisted identification of drugs and indications

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB0321708A GB2406182A (en) 2003-09-16 2003-09-16 Utilising graphical means to identify the possible suitability of drugs for a range of diseases
GB0321708.0 2003-09-16

Publications (3)

Publication Number Publication Date
WO2005027012A2 WO2005027012A2 (en) 2005-03-24
WO2005027012A3 true WO2005027012A3 (en) 2005-05-12
WO2005027012A8 WO2005027012A8 (en) 2005-07-14

Family

ID=29227204

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/GB2004/003851 WO2005027012A2 (en) 2003-09-16 2004-09-09 System and method for the computer-assisted identification of drugs and indications

Country Status (3)

Country Link
EP (1) EP1668555A2 (en)
GB (1) GB2406182A (en)
WO (1) WO2005027012A2 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017065351A1 (en) * 2015-10-13 2017-04-20 한국과학기술원 System and method for predicting new efficacy of natural product material and ingredients
CN111180045B (en) * 2019-11-25 2023-05-12 浙江大学 Method for mining relation between drug pairs and efficacy from prescription information
CN111312342B (en) * 2020-03-04 2023-07-11 杭州憶盛医疗科技有限公司 Electronic structure computer-aided drug design system
CN111477344B (en) * 2020-04-10 2023-06-09 电子科技大学 Drug side effect identification method based on self-weighted multi-core learning
CN113421658B (en) * 2021-07-06 2023-06-16 西北工业大学 Drug-target interaction prediction method based on neighbor attention network

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002021420A2 (en) * 2000-09-06 2002-03-14 Cellomics, Inc. Method and system for creating and using knowledge patterns
US20020169562A1 (en) * 2001-01-29 2002-11-14 Gregory Stephanopoulos Defining biological states and related genes, proteins and patterns
US20020187514A1 (en) * 1999-04-26 2002-12-12 Hao Chen Identification of molecular targets useful in treating substance abuse and addiction

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020187514A1 (en) * 1999-04-26 2002-12-12 Hao Chen Identification of molecular targets useful in treating substance abuse and addiction
WO2002021420A2 (en) * 2000-09-06 2002-03-14 Cellomics, Inc. Method and system for creating and using knowledge patterns
US20020169562A1 (en) * 2001-01-29 2002-11-14 Gregory Stephanopoulos Defining biological states and related genes, proteins and patterns

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
GIVEHCHI A ET AL: "ChemSpaceShuttle: A tool for data mining in drug discovery by classification, projection, and 3D visualization", QSAR & COMBINATORIAL SCIENCE, LONDON, GB, vol. 22, no. 5, July 2003 (2003-07-01), ISSN: 1611-020X, pages 549 - 559, XP008029752 *

Also Published As

Publication number Publication date
GB0321708D0 (en) 2003-10-15
EP1668555A2 (en) 2006-06-14
WO2005027012A2 (en) 2005-03-24
GB2406182A (en) 2005-03-23
WO2005027012A8 (en) 2005-07-14

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Free format text: IN PCT GAZETTE 12/2005 UNDER (30) REPLACE "03211708.0" BY "0321708.0"; UNDER (72, 75) ADD "HARLAND,LEE [GB/GB]; LANFEAR, JERRY [GB/GB]; PARSONS, IAN [GB/GB]; ZARETTI, MARK [GB/GB]; PARSONS, TONY [GB/GB]; BEELEY, LEE [GB/GB]; PFIZER GLOBAL RESEARCH AND DEVELOPMENT, RAMSGATE ROAD, SANDWICH, KENT CT13 9NJ (GB)."

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