{"id":"https://openalex.org/W2398556040","doi":"https://doi.org/10.4018/978-1-60960-491-2.ch013","title":"Network-Driven Analysis Methods and their Application to Drug Discovery","display_name":"Network-Driven Analysis Methods and their Application to Drug Discovery","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2398556040","doi":"https://doi.org/10.4018/978-1-60960-491-2.ch013","mag":"2398556040"},"language":"en","primary_location":{"id":"doi:10.4018/978-1-60960-491-2.ch013","is_oa":false,"landing_page_url":"https://doi.org/10.4018/978-1-60960-491-2.ch013","pdf_url":null,"source":{"id":"https://openalex.org/S4306463409","display_name":"IGI Global eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Handbook of Research on Computational and Systems Biology","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038688193","display_name":"Daniel Ziemek","orcid":null},"institutions":[{"id":"https://openalex.org/I180857899","display_name":"Pfizer (United States)","ror":"https://ror.org/01xdqrp08","country_code":"US","type":"company","lineage":["https://openalex.org/I180857899"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Ziemek","raw_affiliation_strings":["Pfizer Inc., USA"],"affiliations":[{"raw_affiliation_string":"Pfizer Inc., USA","institution_ids":["https://openalex.org/I180857899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038589077","display_name":"Christoph Brockel","orcid":null},"institutions":[{"id":"https://openalex.org/I180857899","display_name":"Pfizer (United States)","ror":"https://ror.org/01xdqrp08","country_code":"US","type":"company","lineage":["https://openalex.org/I180857899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christoph Brockel","raw_affiliation_strings":["Pfizer Inc., USA"],"affiliations":[{"raw_affiliation_string":"Pfizer Inc., USA","institution_ids":["https://openalex.org/I180857899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038688193"],"corresponding_institution_ids":["https://openalex.org/I180857899"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23443456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"294","last_page":"315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.6960047483444214},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5464365482330322},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.5450506806373596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5214771032333374},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49472615122795105},{"id":"https://openalex.org/keywords/pharmaceutical-industry","display_name":"Pharmaceutical industry","score":0.4791828393936157},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41736355423927307},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.4107182025909424},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.40619680285453796},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23695632815361023},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.17636868357658386},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13634458184242249},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12187448143959045},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.12002018094062805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08738675713539124},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07309743762016296}],"concepts":[{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.6960047483444214},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5464365482330322},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.5450506806373596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5214771032333374},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49472615122795105},{"id":"https://openalex.org/C2779652045","wikidata":"https://www.wikidata.org/wiki/Q507443","display_name":"Pharmaceutical industry","level":2,"score":0.4791828393936157},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41736355423927307},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.4107182025909424},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.40619680285453796},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23695632815361023},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.17636868357658386},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13634458184242249},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12187448143959045},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.12002018094062805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08738675713539124},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07309743762016296},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/978-1-60960-491-2.ch013","is_oa":false,"landing_page_url":"https://doi.org/10.4018/978-1-60960-491-2.ch013","pdf_url":null,"source":{"id":"https://openalex.org/S4306463409","display_name":"IGI Global eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Handbook of Research on Computational and Systems Biology","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1533000723","https://openalex.org/W1544009106","https://openalex.org/W1756428283","https://openalex.org/W1876024155","https://openalex.org/W1893022572","https://openalex.org/W1895993106","https://openalex.org/W1966893452","https://openalex.org/W1971224531","https://openalex.org/W1978486653","https://openalex.org/W1983463159","https://openalex.org/W1983481592","https://openalex.org/W1984789788","https://openalex.org/W1986397618","https://openalex.org/W1996984755","https://openalex.org/W1999895438","https://openalex.org/W2014426141","https://openalex.org/W2032493846","https://openalex.org/W2040414403","https://openalex.org/W2061280979","https://openalex.org/W2065546165","https://openalex.org/W2066232588","https://openalex.org/W2073307618","https://openalex.org/W2074192927","https://openalex.org/W2080919929","https://openalex.org/W2082081674","https://openalex.org/W2083045667","https://openalex.org/W2083869247","https://openalex.org/W2087136216","https://openalex.org/W2092755129","https://openalex.org/W2096766502","https://openalex.org/W2097917188","https://openalex.org/W2098425296","https://openalex.org/W2100083453","https://openalex.org/W2103017472","https://openalex.org/W2106202847","https://openalex.org/W2107062718","https://openalex.org/W2108022229","https://openalex.org/W2108671185","https://openalex.org/W2112027455","https://openalex.org/W2112811019","https://openalex.org/W2112947018","https://openalex.org/W2117007075","https://openalex.org/W2119943416","https://openalex.org/W2121533623","https://openalex.org/W2123106337","https://openalex.org/W2125631472","https://openalex.org/W2127938920","https://openalex.org/W2130410032","https://openalex.org/W2130790725","https://openalex.org/W2134736660","https://openalex.org/W2135805255","https://openalex.org/W2137082708","https://openalex.org/W2140158840","https://openalex.org/W2140937045","https://openalex.org/W2144317357","https://openalex.org/W2144983644","https://openalex.org/W2151041575","https://openalex.org/W2154452346","https://openalex.org/W2154947819","https://openalex.org/W2154972152","https://openalex.org/W2158217645","https://openalex.org/W2159675211","https://openalex.org/W2160533336","https://openalex.org/W2167119716","https://openalex.org/W2167334954","https://openalex.org/W2168546553","https://openalex.org/W2169604162","https://openalex.org/W2169905457","https://openalex.org/W2171437346","https://openalex.org/W2171662214","https://openalex.org/W2611370172","https://openalex.org/W2917375902","https://openalex.org/W3133236490","https://openalex.org/W6674830921"],"related_works":["https://openalex.org/W2480711475","https://openalex.org/W101937606","https://openalex.org/W4206379684","https://openalex.org/W2061997414","https://openalex.org/W1587522533","https://openalex.org/W4294163344","https://openalex.org/W2366105490","https://openalex.org/W2580680567","https://openalex.org/W4287027430","https://openalex.org/W2481385346"],"abstract_inverted_index":{"Drug":[0],"discovery":[1,123],"and":[2,27,57,89,113],"development":[3],"face":[4],"tremendous":[5],"challenges":[6],"to":[7,39,71,109],"find":[8],"promising":[9],"intervention":[10,21],"points":[11],"for":[12],"important":[13],"diseases.":[14],"Any":[15],"therapeutic":[16],"agent":[17],"targeting":[18],"such":[19],"an":[20,64],"point":[22,114],"must":[23],"prove":[24],"its":[25],"efficacy":[26],"safety":[28],"in":[29,37,119],"patients.":[30],"Success":[31],"rates":[32],"measured":[33],"from":[34],"first":[35],"studies":[36],"human":[38],"registration":[40],"average":[41],"around":[42],"10%":[43],"only.":[44],"Over":[45],"the":[46,83,86,92],"last":[47],"decade,":[48],"massive":[49],"knowledge":[50,74],"on":[51,91,103],"biological":[52],"systems":[53],"has":[54],"been":[55],"accumulated":[56],"genome-scale":[58],"primary":[59],"data":[60,111],"are":[61,107],"produced":[62],"at":[63],"ever":[65],"increasing":[66],"rate.":[67],"In":[68],"parallel,":[69],"methods":[70,105],"use":[72,118],"that":[73,106],"have":[75],"matured.":[76],"This":[77],"chapter":[78],"will":[79,100],"present":[80],"some":[81],"of":[82,95],"problems":[84],"facing":[85],"pharmaceutical":[87],"industry":[88],"elaborate":[90],"current":[93],"state":[94],"network-driven":[96],"analysis":[97,112],"methods.":[98],"It":[99],"focus":[101],"especially":[102],"semi-quantitative":[104],"applicable":[108],"large-scale":[110],"out":[115],"their":[116],"potential":[117],"many":[120],"relevant":[121],"drug":[122],"challenges.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}