https://m2.mtmt.hu/ hun 2026-05-31 00:50 JournalArticle 31790902 VALIDATED true Funding Agency and Grant Number: Hungarian National Research, Development and Innovation Office [K131458, K116525]; Higher Education Institutional Excellence Programme of the Ministry for Innovation and Technology in Hungary within the framework of the Molecular Biology thematic programme of the Semmelweis University; Thematic Excellence Programme (Temateruleti Kivalosagi Program) of the Ministry for Innovation and Technology in Hungary (Nemzeti Kutatasi, Fejlesztesies Innovacios Alap) [2020-4.1.1.-TKP2020]; Semmelweis University; Human Capacities Grant Management Office in Hungary(Emberi Eroforrasok Miniszteriuma) [NTPNFTO-18-B-0179, NTP-NFTO-19-B-0264]; Semmelweis University [EFOP-3.6.3VEKOP-16-2017-00009] Funding text: This work was supported by the Hungarian National Research, Development and Innovation Office [Hungarian Scientific Research Fund, K131458 to P.C. and K116525 to C.S.] (https://kormany.hu/emberi-eroforrasokminiszteriuma), by the Higher Education Institutional Excellence Programme of the Ministry for Innovation and Technology in Hungary (https://nkfih.gov.hu) within the framework of the Molecular Biology thematic programme of the Semmelweis University [to P.C.] (https://semmelweis.hu), as well as by the Thematic Excellence Programme (Temateruleti Kivalosagi Program, 2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary (Nemzeti Kutatasi, Fejlesztesies Innovacios Alap), within the framework of the artificial intelligence, biomarker thematic programme of the Semmelweis University [to P.C]. B.G.F was supported by the Human Capacities Grant Management Office in Hungary(Emberi Eroforrasok Miniszteriuma) [NTPNFTO-18-B-0179 and NTP-NFTO-19-B-0264], also by the Semmelweis University (EFOP-3.6.3VEKOP-16-2017-00009). C.S. is a Merit Prize recipient of the Semmelweis University (https://semmelweis.hu).The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. 0 false 2026-05-20T11:33:24.357+0000 2025-05-08T13:32:34.861+0000 2020-12-30T10:17:12.639+0000 true 10061477 Fenyves Bánk /api/author/10061477 Author Fenyves Bánk (Biológia, Oxyológia és Sürgősségi orvostan) true 10061477 2025-11-27T08:37:52.472+0000 2025-05-08T13:32:35.185+0000 true 10069305 Kondor Zóra /api/admin/10069305 Admin Kondor Zóra (SE_KK_Admin5_KZ, admin) true true false true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Szakcikk (Folyóiratcikk) 101 true 10000059 true 1 /api/category/1 Category Tudományos true 1 Fenyves, Bánk G. true true /api/journal/10003477 REVIEWED PLOS COMPUTATIONAL BIOLOGY 1553-734X 1553-7358 true false 10003477 false 10003477 true 1553-734X 1553-7358 Journal FOREIGN 16 12 e1007974 e1007974 19 2020 Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse network of Caenorhabditis elegans is a well-reconstructed directed network, but the signs of its connections are yet to be elucidated. Here, we present the gene expression-based sign prediction of the ionotropic chemical synapse connectome of C. elegans (3,638 connections and 20,589 synapses total), incorporating available presynaptic neurotransmitter and postsynaptic receptor gene expression data for three major neurotransmitter systems. We made predictions for more than two-thirds of these chemical synapses and observed an excitatory-inhibitory (E:I) ratio close to 4:1 which was found similar to that observed in many real-world networks. Our open source tool (http://EleganSign.linkgroup.hu) is simple but efficient in predicting polarities by integrating neuronal connectome and gene expression data. Funding 1999872 /api/funding/1999872 (EFOP-3.6.3-VEKOP-16-2017-00009) false true Funding 2052607 /api/funding/2052607 (K131458) false true Funding 2052608 /api/funding/2052608 (OTKA K116525) Támogató: NKFI false true true 2020 true true true false true false GOLD 2026-05-20 true https://doi.org/10.1371/journal.pcbi.1007974 17 0 17 17 0 17 17 14 14 17 17 17 17 17 0 0 17 17 17 17 0 9 9 Folyóiratcikk Journal Article 24 16 Könyvrészlet Chapter in Book 25 1 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2021 0 1 1 1 1 2022 0 4 4 4 4 2023 0 5 5 5 5 2024 0 4 4 4 4 2025 0 2 2 2 2 2026 0 1 1 1 1 D1 false 10061477 false false false 2021-01-21T11:52:36.451+0000 Molekuláris Biológiai Tanszék (SE / AOK / I / BMBI); Sürgősségi Orvostani Klinika (SE / AOK / K) 4 14 2 5 0 true Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 94878128 /api/authorship/94878128 Fenyves, Bánk G. 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(2020) PLOS COMPUTATIONAL BIOLOGY 1553-734X 1553-7358 16 12<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10061477"><a href="/gui2/?type=authors&mode=browse&sel=10061477" target="_blank">Fenyves Bánk G. (<span class="authorship-author-name">Fenyves Bánk</span> <span class="authorAux-mtmt"> Biológia, Oxyológia és Sürgősségi orvostan</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Biokémiai és Molekuláris Biológiai Intézet">BMBI</span>/Molekuláris Biológiai Tanszék; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/Sürgősségi Orvostani Klinika</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Szilágyi Gábor S. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10049810"><a href="/gui2/?type=authors&mode=browse&sel=10049810" target="_blank">Vassy Zsolt (<span class="authorship-author-name">Vassy Zsolt</span> <span class="authorAux-mtmt"> informatika</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Biokémiai és Molekuláris Biológiai Intézet">BMBI</span>/Molekuláris Biológiai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10012506"><a href="/gui2/?type=authors&mode=browse&sel=10012506" target="_blank">Sőti Csaba (<span class="authorship-author-name">Sőti Csaba</span> <span class="authorAux-mtmt"> Biokémia, molekuláris biológia</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Biokémiai és Molekuláris Biológiai Intézet">BMBI</span>/Molekuláris Biológiai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="1035707"><a href="/gui2/?type=authors&mode=browse&sel=1035707" target="_blank">Csermely Peter ✉ (<span class="authorship-author-name">Csermely Péter</span> <span class="authorAux-mtmt"> Biokémia</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Biokémiai és Molekuláris Biológiai Intézet">BMBI</span>/Molekuláris Biológiai Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;31790902" target="_blank">Synaptic polarity and sign-balance prediction using gene expression data in the Caenorhabditis elegans chemical synapse neuronal connectome network</a></div> <div> <span class="journal-title">PLOS COMPUTATIONAL BIOLOGY</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/1553-734X">1553-734X</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1553-7358">1553-7358</a>)</span>: <span class="journal-volume">16</span> <span class="journal-issue">12</span> <span class="page"> Paper e1007974. 19 p. </span> <span class="year">(2020)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.1371/journal.pcbi.1007974" target="_blank" href="https://doi.org/10.1371/journal.pcbi.1007974"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000603071900003" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000603071900003"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85098939888" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85098939888"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="33347479" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=33347479&dopt=Abstract"> PubMed </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Computational Theory and Mathematics&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Ecology&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Ecology, Evolution, Behavior and Systematics&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Modeling and Simulation&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Cellular and Molecular Neuroscience&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Genetics&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Molecular Biology&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 17</span> | Független: 17 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 14 | Scopus jelölt:&nbsp;14 | WoS/Scopus jelölt:&nbsp;17 | DOI jelölt:&nbsp;17 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;31790902&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 9 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 31790902</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="funder"> Az orvos-, egészségtudományi- és gyógyszerészképzés tudományos műhelyeinek fejlesztése(EFOP-3.6.3-VEKOP-16-2017-00009) Támogató: EFOP-VEKOP, (K131458), (OTKA K116525) Támogató: NKFI </div> <div class="lastModified">Utolsó módosítás: 2025.05.08. 15:32 Kondor Zóra (SE_KK_Admin5_KZ, admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Funding Agency and Grant Number: Hungarian National Research, Development and Innovation Office [K131458, K116525]; Higher Education Institutional Excellence Programme of the Ministry for Innovation and Technology in Hungary within the framework of the Molecular Biology thematic programme of the Semmelweis University; Thematic Excellence Programme (Temateruleti Kivalosagi Program) of the Minist...</pre> </div></div>