{"id":"https://openalex.org/W3173733404","doi":"https://doi.org/10.3390/sym13061097","title":"Integrated Inference of Asymmetric Protein Interaction Networks Using Dynamic Model and Individual Patient Proteomics Data","display_name":"Integrated Inference of Asymmetric Protein Interaction Networks Using Dynamic Model and Individual Patient Proteomics Data","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3173733404","doi":"https://doi.org/10.3390/sym13061097","mag":"3173733404"},"language":"en","primary_location":{"id":"doi:10.3390/sym13061097","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13061097","pdf_url":"https://www.mdpi.com/2073-8994/13/6/1097/pdf?version=1624270768","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/13/6/1097/pdf?version=1624270768","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020787845","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-5833-4607"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan 430205, China"],"raw_orcid":"https://orcid.org/0000-0002-5833-4607","affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Wuhan Institute of Technology, Wuhan 430205, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767952","display_name":"Feng Jiang","orcid":"https://orcid.org/0000-0002-4219-6510"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Jiang","raw_affiliation_strings":["School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058742858","display_name":"Xinan Zhang","orcid":"https://orcid.org/0000-0001-8614-7975"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinan Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Central China Normal University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Central China Normal University, Wuhan 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039097797","display_name":"Tianhai Tian","orcid":"https://orcid.org/0000-0001-6191-0209"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tianhai Tian","raw_affiliation_strings":["School of Mathematics, Monash University, Melbourne 3800, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6191-0209","affiliations":[{"raw_affiliation_string":"School of Mathematics, Monash University, Melbourne 3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039097797","https://openalex.org/A5058742858"],"corresponding_institution_ids":["https://openalex.org/I40963666","https://openalex.org/I56590836"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.2442,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52566269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"13","issue":"6","first_page":"1097","last_page":"1097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998999834060669,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9997000098228455,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9882000088691711,"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/computer-science","display_name":"Computer science","score":0.7181075811386108},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6649165153503418},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5801225304603577},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5774685740470886},{"id":"https://openalex.org/keywords/interaction-information","display_name":"Interaction information","score":0.4281458258628845},{"id":"https://openalex.org/keywords/ordinary-differential-equation","display_name":"Ordinary differential equation","score":0.4170437753200531},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38912707567214966},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34316009283065796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3223620057106018},{"id":"https://openalex.org/keywords/differential-equation","display_name":"Differential equation","score":0.17554855346679688},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1340050995349884},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1103992760181427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181075811386108},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6649165153503418},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5801225304603577},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5774685740470886},{"id":"https://openalex.org/C38764148","wikidata":"https://www.wikidata.org/wiki/Q17098245","display_name":"Interaction information","level":2,"score":0.4281458258628845},{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.4170437753200531},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38912707567214966},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34316009283065796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3223620057106018},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.17554855346679688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1340050995349884},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1103992760181427},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym13061097","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13061097","pdf_url":"https://www.mdpi.com/2073-8994/13/6/1097/pdf?version=1624270768","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a8a3fe276c584e67aafcabf1ff20b72d","is_oa":true,"landing_page_url":"https://doaj.org/article/a8a3fe276c584e67aafcabf1ff20b72d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 13, Iss 6, p 1097 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/13/6/1097/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym13061097","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym13061097","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13061097","pdf_url":"https://www.mdpi.com/2073-8994/13/6/1097/pdf?version=1624270768","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G933561381","display_name":null,"funder_award_id":"11871238, 11931019, 61773401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3173733404.pdf"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1973268693","https://openalex.org/W1979833590","https://openalex.org/W1984883254","https://openalex.org/W1990065094","https://openalex.org/W1996822667","https://openalex.org/W2005895632","https://openalex.org/W2062029454","https://openalex.org/W2094397891","https://openalex.org/W2106927126","https://openalex.org/W2109384743","https://openalex.org/W2111384508","https://openalex.org/W2116063398","https://openalex.org/W2120959053","https://openalex.org/W2121695897","https://openalex.org/W2122708083","https://openalex.org/W2125258701","https://openalex.org/W2140217512","https://openalex.org/W2142237411","https://openalex.org/W2155573334","https://openalex.org/W2162142896","https://openalex.org/W2303875941","https://openalex.org/W2329290504","https://openalex.org/W2337819340","https://openalex.org/W2373831850","https://openalex.org/W2509957998","https://openalex.org/W2511261572","https://openalex.org/W2624021832","https://openalex.org/W2734670755","https://openalex.org/W2757234574","https://openalex.org/W2774965730","https://openalex.org/W2779550985","https://openalex.org/W2789679217","https://openalex.org/W2805310212","https://openalex.org/W2890417315","https://openalex.org/W2895035285","https://openalex.org/W2896688833","https://openalex.org/W2900732216","https://openalex.org/W2905450522","https://openalex.org/W2913648187","https://openalex.org/W2915554882","https://openalex.org/W2922758000","https://openalex.org/W2927507212","https://openalex.org/W2943683582","https://openalex.org/W2945199791","https://openalex.org/W2951424836","https://openalex.org/W2996140569","https://openalex.org/W2998742848","https://openalex.org/W2998917483","https://openalex.org/W3005127469","https://openalex.org/W3005814150","https://openalex.org/W3006419771","https://openalex.org/W3048547961","https://openalex.org/W3093153369","https://openalex.org/W3103538164","https://openalex.org/W3106467652","https://openalex.org/W3127245931","https://openalex.org/W6647786800","https://openalex.org/W6683167872","https://openalex.org/W6758809823"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,27,118],"experimental":[3],"biology":[4],"studies":[5],"have":[6],"produced":[7],"large":[8],"amount":[9],"of":[10,52,87,115,120,127],"molecular":[11,25],"activity":[12],"data.":[13,74],"In":[14,142],"particular,":[15],"individual":[16,44,71,88],"patient":[17,45,72],"data":[18],"provide":[19],"non-time":[20],"series":[21],"information":[22,97],"for":[23],"the":[24,43,50,70,79,84,91,107,113],"activities":[26],"disease":[28],"conditions.":[29],"The":[30,75],"challenge":[31],"is":[32,57,98,131,152],"how":[33],"to":[34,38,64,82,100,133,138,154],"design":[35],"effective":[36],"algorithms":[37],"infer":[39,83],"regulatory":[40,66],"networks":[41,67],"using":[42],"datasets":[46],"and":[47],"consequently":[48],"address":[49,112],"issue":[51,114],"network":[53,104,116,159],"symmetry.":[54],"This":[55],"work":[56,144],"aimed":[58],"at":[59],"developing":[60],"an":[61],"efficient":[62],"pipeline":[63],"reverse-engineer":[65],"based":[68],"on":[69],"proteomic":[73],"first":[76],"step":[77],"uses":[78],"SCOUT":[80],"algorithm":[81],"pseudo-time":[85],"trajectory":[86],"patients.":[89],"Then":[90],"path-consistent":[92],"method":[93],"with":[94,160],"part":[95],"mutual":[96],"used":[99,132,153],"construct":[101],"a":[102,124,145,156],"static":[103],"that":[105],"contains":[106],"potential":[108],"protein":[109],"interactions.":[110],"To":[111],"symmetry":[117],"terms":[119],"undirected":[121],"symmetric":[122],"network,":[123],"dynamic":[125],"model":[126],"ordinary":[128],"differential":[129],"equations":[130],"further":[134],"remove":[135],"false":[136],"interactions":[137],"derive":[139],"asymmetric":[140],"networks.":[141],"this":[143],"dataset":[146],"from":[147],"triple-negative":[148],"breast":[149],"cancer":[150],"patients":[151],"develop":[155],"protein-protein":[157],"interaction":[158],"15":[161],"proteins.":[162]},"counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
