{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T20:17:52Z","timestamp":1770754672182,"version":"3.50.0"},"reference-count":73,"publisher":"Oxford University Press (OUP)","issue":"20","license":[{"start":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T00:00:00Z","timestamp":1620864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"German Federal Ministry of Education and Research","award":["01ZX1708C"],"award-info":[{"award-number":["01ZX1708C"]}]},{"name":"TRANSCAN VI\u2014PMTR-pNET","award":["01KT1901B"],"award-info":[{"award-number":["01KT1901B"]}]},{"name":"German Science Foundation","award":["217328187"],"award-info":[{"award-number":["217328187"]}]},{"name":"German Science Foundation","award":["SFB 1074"],"award-info":[{"award-number":["SFB 1074"]}]},{"name":"German Science Foundation","award":["288342734"],"award-info":[{"award-number":["288342734"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,25]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Motivation<\/jats:title><jats:p>Interaction graphs are able to describe regulatory dependencies between compounds without capturing dynamics. In contrast, mathematical models that are based on interaction graphs allow to investigate the dynamics of biological systems. However, since dynamic complexity of these models grows exponentially with their size, exhaustive analyses of the dynamics and consequently screening all possible interventions eventually becomes infeasible. Thus, we designed an approach to identify dynamically relevant compounds based on the static network topology.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Here, we present a method only based on static properties to identify dynamically influencing nodes. Coupling vertex betweenness and determinative power, we could capture relevant nodes for changing dynamics with an accuracy of 75% in a set of 35 published logical models. Further analyses of the selected compounds\u2019 connectivity unravelled a new class of not highly connected nodes with high impact on the networks\u2019 dynamics, which we call gatekeepers. We validated our method\u2019s working concept on logical models, which can be readily scaled up to complex interaction networks, where dynamic analyses are not even feasible.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>Code is freely available at https:\/\/github.com\/sysbio-bioinf\/BNStatic.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btab277","type":"journal-article","created":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:51:50Z","timestamp":1619139110000},"page":"3530-3537","source":"Crossref","is-referenced-by-count":6,"title":["Capturing dynamic relevance in Boolean networks using graph theoretical measures"],"prefix":"10.1093","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6759-0509","authenticated-orcid":false,"given":"Felix M","family":"Weidner","sequence":"first","affiliation":[{"name":"Institute of Medical Systems Biology, Ulm University , Ulm 89069, Germany"},{"name":"International Graduate School of Molecular Medicine, Ulm University , Ulm 89069, Germany"}]},{"given":"Julian D","family":"Schwab","sequence":"additional","affiliation":[{"name":"Institute of Medical Systems Biology, Ulm University , Ulm 89069, Germany"}]},{"given":"Silke D","family":"Werle","sequence":"additional","affiliation":[{"name":"Institute of Medical Systems Biology, Ulm University , Ulm 89069, Germany"},{"name":"International Graduate School of Molecular Medicine, Ulm University , Ulm 89069, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0780-5832","authenticated-orcid":false,"given":"Nensi","family":"Ikonomi","sequence":"additional","affiliation":[{"name":"Institute of Medical Systems Biology, Ulm University , Ulm 89069, Germany"},{"name":"International Graduate School of Molecular Medicine, Ulm University , Ulm 89069, Germany"}]},{"given":"Ludwig","family":"Lausser","sequence":"additional","affiliation":[{"name":"Institute of Medical Systems Biology, Ulm University , Ulm 89069, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4759-5254","authenticated-orcid":false,"given":"Hans A","family":"Kestler","sequence":"additional","affiliation":[{"name":"Institute of Medical Systems Biology, Ulm University , Ulm 89069, Germany"}]}],"member":"286","published-online":{"date-parts":[[2021,5,13]]},"reference":[{"key":"2023051609044777000_btab277-B1","doi-asserted-by":"crossref","first-page":"e02863","DOI":"10.7554\/eLife.02863","article-title":"Buffered qualitative stability explains the robustness and evolvability of transcriptional networks","volume":"3","author":"Albergante","year":"2014","journal-title":"Elife"},{"key":"2023051609044777000_btab277-B2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0022-5193(03)00035-3","article-title":"The topology of the regulatory interactions predicts the expression pattern of the segment polarity genes in Drosophila melanogaster","volume":"223","author":"Albert","year":"2003","journal-title":"J. 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