{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T20:29:30Z","timestamp":1758400170062},"reference-count":8,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2020,12,11]],"date-time":"2020-12-11T00:00:00Z","timestamp":1607644800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>The gene expression regulatory network in yeast controls the selective implementation of the information contained in the genome sequence. We seek to understand how, in different physiological states, the network reconfigures itself to produce a different proteome.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>This article analyses this reconfiguration, focussing on changes in the local structure of the network. In particular, we define, extract and compare the 1-neighbourhoods of each transcription factor, where a 1-neighbourhood of a node in a network is the minimal subgraph of the network containing all nodes connected to the central node by an edge. We report the similarities and differences in the topologies and connectivities of these neighbourhoods in five physiological states for which data are available: cell cycle, DNA damage, stress response, diauxic shift and sporulation. Based on our analysis, it seems apt to regard the components of the regulatory network as \u2018software\u2019, and the responses to changes in state, \u2018reprogramming\u2019.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa831","type":"journal-article","created":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T13:56:27Z","timestamp":1599746187000},"page":"551-558","source":"Crossref","is-referenced-by-count":2,"title":["Neighbourhoods in the yeast regulatory network in\u00a0different physiological states"],"prefix":"10.1093","volume":"37","author":[{"given":"Arthur M","family":"Lesk","sequence":"first","affiliation":[{"name":"The Pennsylvania State University Department of Biochemistry and Molecular Biology, Center for Computational Biology and Bioinformatics, , University Park, PA 16802, USA"}]},{"given":"Arun S","family":"Konagurthu","sequence":"additional","affiliation":[{"name":"Monash University Department of Data Science and Artificial Intelligence, Faculty of Information Technology, , Clayton, VIC 3800, Australia"}]}],"member":"286","published-online":{"date-parts":[[2020,12,11]]},"reference":[{"key":"2023051706081391500_btaa831-B1","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.jmb.2006.04.029","article-title":"Comprehensive analysis of combinatorial regulation using the transcriptional regulatory network of yeast","volume":"360","author":"Balaji","year":"2006","journal-title":"J. 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