{"id":"https://openalex.org/W2973014865","doi":"https://doi.org/10.23919/acc.2019.8814936","title":"Retroactivity Affects the Adaptive Robustness of Transcriptional Regulatory Networks","display_name":"Retroactivity Affects the Adaptive Robustness of Transcriptional Regulatory Networks","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2973014865","doi":"https://doi.org/10.23919/acc.2019.8814936","mag":"2973014865"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2019.8814936","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100608820","display_name":"Junmin Wang","orcid":"https://orcid.org/0000-0003-3413-2004"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junmin Wang","raw_affiliation_strings":["Bioinformatics Graduate Program, Boston University, Boston, MA, 02215, USA","Bioinformatics Graduate Program, Boston University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Graduate Program, Boston University, Boston, MA, 02215, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Bioinformatics Graduate Program, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086742095","display_name":"C\u0103lin Belta","orcid":"https://orcid.org/0000-0002-7141-2657"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Calin Belta","raw_affiliation_strings":["Division of Systems Engineering, and the Bioinformatics Graduate Program, Boston University, Boston, MA, 02215, USA","Department of Mechanical Engineering, Boston University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Systems Engineering, and the Bioinformatics Graduate Program, Boston University, Boston, MA, 02215, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":null,"apc_paid":null,"fwci":1.6734,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.847975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5396","last_page":"5401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T10878","display_name":"CRISPR and Genetic Engineering","score":0.9916999936103821,"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/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.9905999898910522,"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/robustness","display_name":"Robustness (evolution)","score":0.9185163974761963},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6330620646476746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5977184176445007},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5313421487808228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1698944866657257},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13398393988609314}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.9185163974761963},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6330620646476746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5977184176445007},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5313421487808228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1698944866657257},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13398393988609314},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2019.8814936","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8814936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1599969036","https://openalex.org/W1637936532","https://openalex.org/W1977624796","https://openalex.org/W1981047637","https://openalex.org/W2012001954","https://openalex.org/W2021099440","https://openalex.org/W2057001025","https://openalex.org/W2098199730","https://openalex.org/W2117056464","https://openalex.org/W2117136688","https://openalex.org/W2123973944","https://openalex.org/W2129149800","https://openalex.org/W2137244527","https://openalex.org/W2157737080","https://openalex.org/W2166499263","https://openalex.org/W2168798915","https://openalex.org/W2214152484","https://openalex.org/W2257267783","https://openalex.org/W2276582555","https://openalex.org/W2290547791","https://openalex.org/W2316378629","https://openalex.org/W2589778060","https://openalex.org/W2772989436"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2378076731"],"abstract_inverted_index":{"Adaptation":[0],"refers":[1],"to":[2,6,9,16,27,32,56,82,97],"the":[3,17,22,33,44,52,84,104],"system's":[4],"ability":[5,23],"respond":[7],"transiently":[8],"an":[10],"input":[11],"signal":[12],"and":[13,78],"subsequently":[14],"recover":[15],"initial":[18],"states.":[19],"Adaptive":[20],"robustness,":[21],"of":[24,46,54,86],"a":[25,68],"network":[26],"achieve":[28],"adaptation,":[29],"is":[30],"subject":[31],"loading":[34],"effects":[35,45,85],"arising":[36],"from":[37],"modular":[38],"interconnections,":[39],"known":[40],"as":[41,113],"retroactivity.":[42],"Studying":[43],"retroactivity":[47,55,87,95],"on":[48,88],"adaptive":[49,72,89,99],"robustness":[50,73,100],"facilitates":[51],"employment":[53],"improve":[57],"circuit":[58],"performance":[59],"in":[60,101],"synthetic":[61],"biology.":[62],"In":[63],"this":[64,80],"paper,":[65],"we":[66],"developed":[67],"framework":[69,81],"for":[70],"quantifying":[71],"via":[74],"statistical":[75],"model":[76],"checking":[77],"used":[79],"investigate":[83],"robustness.":[90],"We":[91],"found":[92],"that":[93],"increasing":[94],"tends":[96],"raise":[98],"networks":[102],"where":[103],"output":[105],"protein":[106],"does":[107],"not":[108],"perform":[109],"regulatory":[110],"functions,":[111],"such":[112],"incoherent":[114],"feedforward":[115],"loops.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
