Connecting the Dots: Applications of Network Medicine in Pharmacology and Disease View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-08-29

AUTHORS

A Jacunski, N P Tatonetti

ABSTRACT

In 2011, >2.5 million people died from only 15 causes in the United States. Ten of these involved complex or infectious diseases for which there is insufficient knowledge or treatment, such as heart disease, influenza, and Alzheimer's disease.(1) Complex diseases have been difficult to understand due to their multifarious genetic and molecular fingerprints, while certain infectious agents have evolved to elude treatment and prophylaxis. Network medicine provides a macroscopic approach to understanding and treating such illnesses. It integrates experimental data on gene, protein, and metabolic interactions with clinical knowledge of disease and pharmacology in order to extend the understanding of diseases and their treatments. The resulting "big picture" allows for the development of computational and mathematical methods to identify novel disease pathways and predict patient drug response, among others. In this review, we discuss recent advances in network medicine. More... »

PAGES

659-669

References to SciGraph publications

  • 2012-12-07. Personalized Cancer Medicine: Molecular Diagnostics, Predictive biomarkers, and Drug Resistance in CLINICAL PHARMACOLOGY & THERAPEUTICS
  • 2012-12-16. A gene ontology inferred from molecular networks in NATURE BIOTECHNOLOGY
  • 2012-06-15. Highly interconnected genes in disease-specific networks are enriched for disease-associated polymorphisms in GENOME BIOLOGY
  • 2012-12-17. Cliques for the identification of gene signatures for colorectal cancer across population in BMC SYSTEMS BIOLOGY
  • 2005-04. Gene–environment interactions in human diseases in NATURE REVIEWS GENETICS
  • 2013-04-10. Prioritization of candidate disease genes by topological similarity between disease and protein diffusion profiles in BMC BIOINFORMATICS
  • 2010-12-17. Network medicine: a network-based approach to human disease in NATURE REVIEWS GENETICS
  • 2013-04-29. Network Characteristic Analysis of ADR-related Proteins and Identification of ADR-ADR Associations in SCIENTIFIC REPORTS
  • 1994-02. Use of synthetic lethal mutants to clone and characterize a novel CTP synthetase gene in Saccharomyces cerevisiae in MOLECULAR GENETICS AND GENOMICS
  • 2010-03. What is flux balance analysis? in NATURE BIOTECHNOLOGY
  • 2006-02-24. Analysis of the human protein interactome and comparison with yeast, worm and fly interaction datasets in NATURE GENETICS
  • 2012-09-23. Comprehensive molecular portraits of human breast tumors in NATURE
  • 2013-04-10. Analysis of a gene co-expression network establishes robust association between Col5a2 and ischemic heart disease in BMC MEDICAL GENOMICS
  • 2013-02-18. On the exoneration of Dr. William H. Stewart: debunking an urban legend in INFECTIOUS DISEASES OF POVERTY
  • 2004-02. Network biology: understanding the cell's functional organization in NATURE REVIEWS GENETICS
  • 2008-10-20. Network pharmacology: the next paradigm in drug discovery in NATURE CHEMICAL BIOLOGY
  • 2010-04. A method and server for predicting damaging missense mutations in NATURE METHODS
  • 2002-01. Gene expression profiling predicts clinical outcome of breast cancer in NATURE
  • 2006-12-15. Drug interactions with lipid‐lowering drugs: Mechanisms and clinical relevance in CLINICAL PHARMACOLOGY & THERAPEUTICS
  • 2012-07-18. Interpreting cancer genomes using systematic host perturbations by tumour virus proteins in NATURE
  • 2011-01-21. When the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases in BMC SYSTEMS BIOLOGY
  • 2001-05. Lethality and centrality in protein networks in NATURE
  • 2008-10-09. Mining protein networks for synthetic genetic interactions in BMC BIOINFORMATICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/clpt.2013.168

    DOI

    http://dx.doi.org/10.1038/clpt.2013.168

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011856973

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23995266


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1115", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Pharmacology and Pharmaceutical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cardiovascular Diseases", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Communicable Diseases", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Diabetes Mellitus", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Disease", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolic Networks and Pathways", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mutation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Obesity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Pharmacology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phenotype", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Precision Medicine", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Schizophrenia", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Systems Biology", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Medicine, Columbia University Medical Center New York New York USA", 
              "id": "http://www.grid.ac/institutes/grid.239585.0", 
              "name": [
                "Integrated Program in Cellular, Molecular and Biomedical Studies, Columbia University Medical Center New York New York USA", 
                "Department of Biomedical Informatics, Columbia University Medical Center New York New York USA", 
                "Department of Systems Biology, Columbia University Medical Center New York New York USA", 
                "Department of Medicine, Columbia University Medical Center New York New York USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jacunski", 
            "givenName": "A", 
            "id": "sg:person.01302703111.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302703111.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Medicine, Columbia University Medical Center New York New York USA", 
              "id": "http://www.grid.ac/institutes/grid.239585.0", 
              "name": [
                "Department of Biomedical Informatics, Columbia University Medical Center New York New York USA", 
                "Department of Systems Biology, Columbia University Medical Center New York New York USA", 
                "Department of Medicine, Columbia University Medical Center New York New York USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tatonetti", 
            "givenName": "N P", 
            "id": "sg:person.0651210417.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651210417.29"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nature11288", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021798602", 
              "https://doi.org/10.1038/nature11288"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2012-13-6-r46", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026025148", 
              "https://doi.org/10.1186/gb-2012-13-6-r46"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2463", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010028558", 
              "https://doi.org/10.1038/nbt.2463"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-9-426", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051601947", 
              "https://doi.org/10.1186/1471-2105-9-426"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep01744", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004546201", 
              "https://doi.org/10.1038/srep01744"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/j.clpt.2006.09.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007339466", 
              "https://doi.org/10.1016/j.clpt.2006.09.003"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1755-8794-6-13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030457610", 
              "https://doi.org/10.1186/1755-8794-6-13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nchembio.118", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006687583", 
              "https://doi.org/10.1038/nchembio.118"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1578", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009349283", 
              "https://doi.org/10.1038/nrg1578"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-6-s3-s17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043623638", 
              "https://doi.org/10.1186/1752-0509-6-s3-s17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth0410-248", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007489634", 
              "https://doi.org/10.1038/nmeth0410-248"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/clpt.2012.237", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022698279", 
              "https://doi.org/10.1038/clpt.2012.237"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/415530a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043001094", 
              "https://doi.org/10.1038/415530a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1747", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012562297", 
              "https://doi.org/10.1038/ng1747"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2918", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021371713", 
              "https://doi.org/10.1038/nrg2918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-14-s5-s5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000034588", 
              "https://doi.org/10.1186/1471-2105-14-s5-s5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1272", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018231980", 
              "https://doi.org/10.1038/nrg1272"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11412", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024942368", 
              "https://doi.org/10.1038/nature11412"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1614", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045259071", 
              "https://doi.org/10.1038/nbt.1614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00281793", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051171808", 
              "https://doi.org/10.1007/bf00281793"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2049-9957-2-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041742663", 
              "https://doi.org/10.1186/2049-9957-2-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35075138", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038990326", 
              "https://doi.org/10.1038/35075138"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-5-13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006948127", 
              "https://doi.org/10.1186/1752-0509-5-13"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013-08-29", 
        "datePublishedReg": "2013-08-29", 
        "description": "In 2011, >2.5 million people died from only 15 causes in the United States. Ten of these involved complex or infectious diseases for which there is insufficient knowledge or treatment, such as heart disease, influenza, and Alzheimer's disease.(1) Complex diseases have been difficult to understand due to their multifarious genetic and molecular fingerprints, while certain infectious agents have evolved to elude treatment and prophylaxis. Network medicine provides a macroscopic approach to understanding and treating such illnesses. It integrates experimental data on gene, protein, and metabolic interactions with clinical knowledge of disease and pharmacology in order to extend the understanding of diseases and their treatments. The resulting \"big picture\" allows for the development of computational and mathematical methods to identify novel disease pathways and predict patient drug response, among others. In this review, we discuss recent advances in network medicine. ", 
        "genre": "article", 
        "id": "sg:pub.10.1038/clpt.2013.168", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1017409", 
            "issn": [
              "0009-9236", 
              "1532-6535"
            ], 
            "name": "Clinical Pharmacology & Therapeutics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "94"
          }
        ], 
        "keywords": [
          "certain infectious agents", 
          "novel disease pathways", 
          "heart disease", 
          "patient drug response", 
          "infectious agents", 
          "such illnesses", 
          "Alzheimer's disease", 
          "infectious diseases", 
          "disease", 
          "drug response", 
          "clinical knowledge", 
          "disease pathways", 
          "treatment", 
          "understanding of disease", 
          "network medicine", 
          "metabolic interactions", 
          "pharmacology", 
          "complex diseases", 
          "medicine", 
          "insufficient knowledge", 
          "prophylaxis", 
          "illness", 
          "influenza", 
          "United States", 
          "recent advances", 
          "cause", 
          "review", 
          "agents", 
          "response", 
          "pathway", 
          "molecular fingerprints", 
          "knowledge", 
          "protein", 
          "genes", 
          "people", 
          "understanding", 
          "advances", 
          "data", 
          "development", 
          "picture", 
          "method", 
          "interaction", 
          "fingerprints", 
          "approach", 
          "state", 
          "order", 
          "big picture", 
          "applications", 
          "dots", 
          "mathematical methods", 
          "experimental data", 
          "macroscopic approach"
        ], 
        "name": "Connecting the Dots: Applications of Network Medicine in Pharmacology and Disease", 
        "pagination": "659-669", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1011856973"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/clpt.2013.168"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "23995266"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/clpt.2013.168", 
          "https://app.dimensions.ai/details/publication/pub.1011856973"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-11-01T18:19", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_604.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/clpt.2013.168"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/clpt.2013.168'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/clpt.2013.168'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/clpt.2013.168'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/clpt.2013.168'


     

    This table displays all metadata directly associated to this object as RDF triples.

    272 TRIPLES      22 PREDICATES      115 URIs      84 LITERALS      21 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/clpt.2013.168 schema:about N04d7257708cd4923a9c1183ba2b2b551
    2 N14f6e2b0e38a4853880ae4fb15bdd5cc
    3 N183b9c6a88064191865c444918eece94
    4 N1b47f6834606489888b87156390cc260
    5 N2887b29df4f9400b82e327a90d334883
    6 N37fa1578bd1c4ad984657b6ebfe40d05
    7 N42b5e2d6c9844ed89681b7004a1e9770
    8 N4434bab88fab4abd97a03b2e666d55ed
    9 N4c169615462346eb9fa4e17453ba6517
    10 N6a00f73dbad043e89b19a6abf9e663c3
    11 N87b7d5fbbc384969bf81b8068ef397ac
    12 N930bc27602834014a1464eab81e2b41b
    13 Nb20c63c8e14a490aab8c98054b0c53cc
    14 Ncef35e313dd245bb8c0bbf951d9468b9
    15 anzsrc-for:11
    16 anzsrc-for:1115
    17 schema:author Na728f462a3474605a25ce7cb950447b4
    18 schema:citation sg:pub.10.1007/bf00281793
    19 sg:pub.10.1016/j.clpt.2006.09.003
    20 sg:pub.10.1038/35075138
    21 sg:pub.10.1038/415530a
    22 sg:pub.10.1038/clpt.2012.237
    23 sg:pub.10.1038/nature11288
    24 sg:pub.10.1038/nature11412
    25 sg:pub.10.1038/nbt.1614
    26 sg:pub.10.1038/nbt.2463
    27 sg:pub.10.1038/nchembio.118
    28 sg:pub.10.1038/ng1747
    29 sg:pub.10.1038/nmeth0410-248
    30 sg:pub.10.1038/nrg1272
    31 sg:pub.10.1038/nrg1578
    32 sg:pub.10.1038/nrg2918
    33 sg:pub.10.1038/srep01744
    34 sg:pub.10.1186/1471-2105-14-s5-s5
    35 sg:pub.10.1186/1471-2105-9-426
    36 sg:pub.10.1186/1752-0509-5-13
    37 sg:pub.10.1186/1752-0509-6-s3-s17
    38 sg:pub.10.1186/1755-8794-6-13
    39 sg:pub.10.1186/2049-9957-2-3
    40 sg:pub.10.1186/gb-2012-13-6-r46
    41 schema:datePublished 2013-08-29
    42 schema:datePublishedReg 2013-08-29
    43 schema:description In 2011, >2.5 million people died from only 15 causes in the United States. Ten of these involved complex or infectious diseases for which there is insufficient knowledge or treatment, such as heart disease, influenza, and Alzheimer's disease.(1) Complex diseases have been difficult to understand due to their multifarious genetic and molecular fingerprints, while certain infectious agents have evolved to elude treatment and prophylaxis. Network medicine provides a macroscopic approach to understanding and treating such illnesses. It integrates experimental data on gene, protein, and metabolic interactions with clinical knowledge of disease and pharmacology in order to extend the understanding of diseases and their treatments. The resulting "big picture" allows for the development of computational and mathematical methods to identify novel disease pathways and predict patient drug response, among others. In this review, we discuss recent advances in network medicine.
    44 schema:genre article
    45 schema:inLanguage en
    46 schema:isAccessibleForFree false
    47 schema:isPartOf N65cfffbcfc2a4618a2d850150d13c57f
    48 Nb42d2347e7454f8da817e3761751af02
    49 sg:journal.1017409
    50 schema:keywords Alzheimer's disease
    51 United States
    52 advances
    53 agents
    54 applications
    55 approach
    56 big picture
    57 cause
    58 certain infectious agents
    59 clinical knowledge
    60 complex diseases
    61 data
    62 development
    63 disease
    64 disease pathways
    65 dots
    66 drug response
    67 experimental data
    68 fingerprints
    69 genes
    70 heart disease
    71 illness
    72 infectious agents
    73 infectious diseases
    74 influenza
    75 insufficient knowledge
    76 interaction
    77 knowledge
    78 macroscopic approach
    79 mathematical methods
    80 medicine
    81 metabolic interactions
    82 method
    83 molecular fingerprints
    84 network medicine
    85 novel disease pathways
    86 order
    87 pathway
    88 patient drug response
    89 people
    90 pharmacology
    91 picture
    92 prophylaxis
    93 protein
    94 recent advances
    95 response
    96 review
    97 state
    98 such illnesses
    99 treatment
    100 understanding
    101 understanding of disease
    102 schema:name Connecting the Dots: Applications of Network Medicine in Pharmacology and Disease
    103 schema:pagination 659-669
    104 schema:productId N4f79836e935a4086ab4037aacb6458c3
    105 N7efe438846354401885cdf96f38ed425
    106 Nd85843150522456db4ac037a26ce17ad
    107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011856973
    108 https://doi.org/10.1038/clpt.2013.168
    109 schema:sdDatePublished 2021-11-01T18:19
    110 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    111 schema:sdPublisher N763eb8e52cf24104aa57fc4a1b7817a9
    112 schema:url https://doi.org/10.1038/clpt.2013.168
    113 sgo:license sg:explorer/license/
    114 sgo:sdDataset articles
    115 rdf:type schema:ScholarlyArticle
    116 N04d7257708cd4923a9c1183ba2b2b551 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Metabolic Networks and Pathways
    118 rdf:type schema:DefinedTerm
    119 N14f6e2b0e38a4853880ae4fb15bdd5cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Phenotype
    121 rdf:type schema:DefinedTerm
    122 N183b9c6a88064191865c444918eece94 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    123 schema:name Pharmacology
    124 rdf:type schema:DefinedTerm
    125 N1b47f6834606489888b87156390cc260 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Communicable Diseases
    127 rdf:type schema:DefinedTerm
    128 N2887b29df4f9400b82e327a90d334883 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    129 schema:name Diabetes Mellitus
    130 rdf:type schema:DefinedTerm
    131 N37fa1578bd1c4ad984657b6ebfe40d05 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Systems Biology
    133 rdf:type schema:DefinedTerm
    134 N42b5e2d6c9844ed89681b7004a1e9770 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    135 schema:name Obesity
    136 rdf:type schema:DefinedTerm
    137 N4434bab88fab4abd97a03b2e666d55ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    138 schema:name Schizophrenia
    139 rdf:type schema:DefinedTerm
    140 N4c169615462346eb9fa4e17453ba6517 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name Humans
    142 rdf:type schema:DefinedTerm
    143 N4f79836e935a4086ab4037aacb6458c3 schema:name doi
    144 schema:value 10.1038/clpt.2013.168
    145 rdf:type schema:PropertyValue
    146 N5e8d72ee3f3548e58d27515549c87947 rdf:first sg:person.0651210417.29
    147 rdf:rest rdf:nil
    148 N65cfffbcfc2a4618a2d850150d13c57f schema:volumeNumber 94
    149 rdf:type schema:PublicationVolume
    150 N6a00f73dbad043e89b19a6abf9e663c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Precision Medicine
    152 rdf:type schema:DefinedTerm
    153 N763eb8e52cf24104aa57fc4a1b7817a9 schema:name Springer Nature - SN SciGraph project
    154 rdf:type schema:Organization
    155 N7efe438846354401885cdf96f38ed425 schema:name dimensions_id
    156 schema:value pub.1011856973
    157 rdf:type schema:PropertyValue
    158 N87b7d5fbbc384969bf81b8068ef397ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Neoplasms
    160 rdf:type schema:DefinedTerm
    161 N930bc27602834014a1464eab81e2b41b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    162 schema:name Disease
    163 rdf:type schema:DefinedTerm
    164 Na728f462a3474605a25ce7cb950447b4 rdf:first sg:person.01302703111.26
    165 rdf:rest N5e8d72ee3f3548e58d27515549c87947
    166 Nb20c63c8e14a490aab8c98054b0c53cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    167 schema:name Cardiovascular Diseases
    168 rdf:type schema:DefinedTerm
    169 Nb42d2347e7454f8da817e3761751af02 schema:issueNumber 6
    170 rdf:type schema:PublicationIssue
    171 Ncef35e313dd245bb8c0bbf951d9468b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    172 schema:name Mutation
    173 rdf:type schema:DefinedTerm
    174 Nd85843150522456db4ac037a26ce17ad schema:name pubmed_id
    175 schema:value 23995266
    176 rdf:type schema:PropertyValue
    177 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    178 schema:name Medical and Health Sciences
    179 rdf:type schema:DefinedTerm
    180 anzsrc-for:1115 schema:inDefinedTermSet anzsrc-for:
    181 schema:name Pharmacology and Pharmaceutical Sciences
    182 rdf:type schema:DefinedTerm
    183 sg:journal.1017409 schema:issn 0009-9236
    184 1532-6535
    185 schema:name Clinical Pharmacology & Therapeutics
    186 schema:publisher Springer Nature
    187 rdf:type schema:Periodical
    188 sg:person.01302703111.26 schema:affiliation grid-institutes:grid.239585.0
    189 schema:familyName Jacunski
    190 schema:givenName A
    191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302703111.26
    192 rdf:type schema:Person
    193 sg:person.0651210417.29 schema:affiliation grid-institutes:grid.239585.0
    194 schema:familyName Tatonetti
    195 schema:givenName N P
    196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651210417.29
    197 rdf:type schema:Person
    198 sg:pub.10.1007/bf00281793 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051171808
    199 https://doi.org/10.1007/bf00281793
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1016/j.clpt.2006.09.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007339466
    202 https://doi.org/10.1016/j.clpt.2006.09.003
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1038/35075138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038990326
    205 https://doi.org/10.1038/35075138
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1038/415530a schema:sameAs https://app.dimensions.ai/details/publication/pub.1043001094
    208 https://doi.org/10.1038/415530a
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1038/clpt.2012.237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022698279
    211 https://doi.org/10.1038/clpt.2012.237
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1038/nature11288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021798602
    214 https://doi.org/10.1038/nature11288
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1038/nature11412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024942368
    217 https://doi.org/10.1038/nature11412
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1038/nbt.1614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045259071
    220 https://doi.org/10.1038/nbt.1614
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1038/nbt.2463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010028558
    223 https://doi.org/10.1038/nbt.2463
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1038/nchembio.118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006687583
    226 https://doi.org/10.1038/nchembio.118
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1038/ng1747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012562297
    229 https://doi.org/10.1038/ng1747
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1038/nmeth0410-248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007489634
    232 https://doi.org/10.1038/nmeth0410-248
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1038/nrg1272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018231980
    235 https://doi.org/10.1038/nrg1272
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1038/nrg1578 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009349283
    238 https://doi.org/10.1038/nrg1578
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1038/nrg2918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021371713
    241 https://doi.org/10.1038/nrg2918
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1038/srep01744 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004546201
    244 https://doi.org/10.1038/srep01744
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1186/1471-2105-14-s5-s5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000034588
    247 https://doi.org/10.1186/1471-2105-14-s5-s5
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1186/1471-2105-9-426 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051601947
    250 https://doi.org/10.1186/1471-2105-9-426
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1186/1752-0509-5-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006948127
    253 https://doi.org/10.1186/1752-0509-5-13
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1186/1752-0509-6-s3-s17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043623638
    256 https://doi.org/10.1186/1752-0509-6-s3-s17
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1186/1755-8794-6-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030457610
    259 https://doi.org/10.1186/1755-8794-6-13
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1186/2049-9957-2-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041742663
    262 https://doi.org/10.1186/2049-9957-2-3
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1186/gb-2012-13-6-r46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026025148
    265 https://doi.org/10.1186/gb-2012-13-6-r46
    266 rdf:type schema:CreativeWork
    267 grid-institutes:grid.239585.0 schema:alternateName Department of Medicine, Columbia University Medical Center New York New York USA
    268 schema:name Department of Biomedical Informatics, Columbia University Medical Center New York New York USA
    269 Department of Medicine, Columbia University Medical Center New York New York USA
    270 Department of Systems Biology, Columbia University Medical Center New York New York USA
    271 Integrated Program in Cellular, Molecular and Biomedical Studies, Columbia University Medical Center New York New York USA
    272 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...