Efficient link prediction in the protein–protein interaction network using topological information in a generative adversarial network machine learning model

https://m2.mtmt.hu/ eng 2026-10-24 05:10 JournalArticle 32690009 VALIDATED true Funding Agency and Grant Number: Semmelweis University; National Research, Development and Innovation Office of Hungary (NKFIA) [NVKP-16-1-2016-0017, K131458]; Thematic Excellence Programme of the Ministry for Innovation and Technology in Hungary of the Semmelweis University [2020-4.1.1.-TKP2020, TKP2021-EGA-24]; Research Excellence Programme of the National Research, Development and Innovation Office of the Ministry of Innovation and Technology in Hungary (TKP/ITM/NKFIH); New National Excellence Program of the Ministry for Innovation and Technology from the National Research, Development and Innovation Fund [UNKP-20-4-I-SE-7, UNKP-21-4-II-SE-18]; "Semmelweis 250+ Kivalosagi PhD Osztondij" grant [EFOP3.6.3-VEKOP-16-2017-00009] Funding text: Open access funding provided by Semmelweis University. This study was supported by the National Research, Development and Innovation Office of Hungary (NKFIA; NVKP-16-1-2016-0017 National Heart Program; K131458), Thematic Excellence Programme (2020-4.1.1.-TKP2020, TKP2021-EGA-24) of the Ministry for Innovation and Technology in Hungary, within the framework of the Therapeutic Development and Molecular Biology thematic programmes of the Semmelweis University. This study was also supported by the Research Excellence Programme of the National Research, Development and Innovation Office of the Ministry of Innovation and Technology in Hungary (TKP/ITM/NKFIH)". B.A. was supported by the UNKP-20-4-I-SE-7 and the UNKP-21-4-II-SE-18 New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund. MP was supported by EFOP3.6.3-VEKOP-16-2017-00009 "Semmelweis 250+ Kivalosagi PhD Osztondij" grant. The funding bodies did not play any role in the design of the study, in the collection, analysis and interpretation of data or in writing of the manuscript. 0 false 2026-10-22T05:34:05.336+0000 2025-03-06T22:01:27.950+0000 2022-02-20T14:12:27.629+0000 true 1035707 Csermely Péter /api/author/1035707 Author Péter Csermely (Biokémia) true 1035707 2025-07-07T12:55:39.687+0000 2025-07-07T12:55:39.687+0000 2024-09-10T07:06:35.568+0000 true 10015544 Csajbók Edit /api/admin/10015544 Admin Edit Csajbók (SE_KK_Admin5_CSE, admin) true 10015544 true false true 24 24 /api/publicationtype/24 PublicationType Journal Article 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Journal Article 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Article (Journal Article) 101 true 10000059 true 1 /api/category/1 Category Scientific true 1 Balogh, Olivér M. 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[Balogh, Olivér Márton (Mesterséges intel...), author] Department of Pharmacology and Pharmacotherapy (SU / FM / I); MTA-SE System Pharmacology Research Group (SU / FM / I / DPP) 1 0.143 true false false Author 10082699 /api/author/10082699 Olivér Márton Balogh (Mesterséges intelligencia, Adat tudomány) Balogh Olivér Márton true true Balogh Olivér M. true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 100735751 /api/authorship/100735751 Benczik, Bettina [Benczik, Bettina (Bioinformatika), author] Department of Pharmacology and Pharmacotherapy (SU / FM / I); MTA-SE System Pharmacology Research Group (SU / FM / I / DPP) 2 0.14285715 false false false Author 10069234 /api/author/10069234 Bettina Benczik (Bioinformatika) Benczik Bettina true true Benczik Bettina true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 100735752 /api/authorship/100735752 Horváth, András [Horváth, András (mérnöki tudományok), author] 3 0.14285715 false false false Author 10029872 /api/author/10029872 András Horváth (mérnöki tudományok) Horváth András true 10029872 true Horváth András true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 100735753 /api/authorship/100735753 Pétervári, Mátyás [Pétervári, Mátyás (Farmakológia), author] Department of Pharmacology and Pharmacotherapy (SU / FM / I); 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(2022) BMC BIOINFORMATICS 1471-2105 1471-2105 23 1<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"> <a href="/gui2/?type=authors&mode=browse&sel=10082699" target="_blank">Balogh Olivér M. (Balogh Olivér Márton Mesterséges intelligencia, Adat tudomány) </a> SU/FM/I/Department of Pharmacology and Pharmacotherapy; SU/FM/I/DPP/MTA-SE System Pharmacology Research Group ;    <a href="/gui2/?type=authors&mode=browse&sel=10069234" target="_blank">Benczik Bettina (Benczik Bettina Bioinformatika) </a> SU/FM/I/Department of Pharmacology and Pharmacotherapy; SU/FM/I/DPP/MTA-SE System Pharmacology Research Group ;    <a href="/gui2/?type=authors&mode=browse&sel=10029872" target="_blank">Horváth András (Horváth András mérnöki tudományok) </a> ;    <a href="/gui2/?type=authors&mode=browse&sel=10065329" target="_blank">Pétervári Mátyás (Pétervári Mátyás Farmakológia) </a> SU/FM/I/Department of Pharmacology and Pharmacotherapy; SU/FM/I/DPP/MTA-SE System Pharmacology Research Group ;    <a href="/gui2/?type=authors&mode=browse&sel=1035707" target="_blank">Csermely Péter (Csermely Péter Biokémia) </a> SU/FM/I/BMBI/Molekuláris Biológiai Tanszék ;    <a href="/gui2/?type=authors&mode=browse&sel=10010125" target="_blank">Ferdinandy Péter (Ferdinandy Péter Farmakológia, molekuláris medicina) </a> SU/FM/I/Department of Pharmacology and Pharmacotherapy; SU/FM/I/DPP/MTA-SE System Pharmacology Research Group ;    <a href="/gui2/?type=authors&mode=browse&sel=10057401" target="_blank">Ágg Bence ✉ (Ágg Bence Farmakológia) </a> SU/FM/I/Department of Pharmacology and Pharmacotherapy; SU/FM/I/DPP/MTA-SE System Pharmacology Research Group </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;32690009" target="_blank">Efficient link prediction in the protein–protein interaction network using topological information in a generative adversarial network machine learning model</a></div> <div> BMC BIOINFORMATICS (<a target="_blank" href="https://portal.issn.org/resource/ISSN/1471-2105">1471-2105</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1471-2105">1471-2105</a>): 23 1 Paper 78. 19 p. (2022) </div> <div class="pub-footer"> Language: English | <a style="color:blue" title="10.1186/s12859-022-04598-x" target="_blank" href="https://doi.org/10.1186/s12859-022-04598-x"> DOI </a> <a style="color:blue" title="000757934300002" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000757934300002"> WoS </a> <a style="color:blue" title="85125020446" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85125020446"> Scopus </a> <a style="color:blue" title="35183129" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=35183129&dopt=Abstract"> PubMed </a> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Journal subject: Scopus - Applied Mathematics   Rank: Q1</div> <div class="journal-subject">Journal subject: Scopus - Biochemistry   Rank: Q1</div> <div class="journal-subject">Journal subject: Scopus - Computer Science Applications   Rank: Q1</div> <div class="journal-subject">Journal subject: Scopus - Molecular Biology   Rank: Q2</div> <div class="journal-subject">Journal subject: Scopus - Structural Biology   Rank: Q2</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> Citing papers: 42 | Independent citation: 40 | Self citation: 2 | Unknown citation: 0 | Number of citations in WoS: 30 | Number of citations in Scopus: 35 | WoS/Scopus assigned: 39 | Number of citations with DOI: 37 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;32690009&sort=publishedYear,desc&sort=title"> Number of cited publications: 1 </a> </div> <div class="mtid">Publication: 32690009 | Validated Core Citing | Journal Article ( Article ) | Scientific | kézi felvitel </div> <div class="funder"> (Open access funding of Semmelweis University), National Heart Program(NVKP-16-1-2016-0017) Funder: NRDIO, (K131458), Thematic Excellence Program (Semmelweis University)(2020-4.1.1.-TKP2020) Funder: Ministry for Innovation and Technology, Thematic Institutional Excellence Programme(TKP2021-EGA-24) Funder: Ministry of Human Capacities, (ÚNKP-20-4-I-SE-7), (ÚNKP-21-4-II-SE-18), Az orvos-, egészségtudományi- és gyógyszerészképzés tudományos műhelyeinek fejlesztése(EFOP-3.6.3-VEKOP-16-2017-00009) Funder: EFOP-VEKOP, (Semmelweis 250+ Kiválósági PhD Ösztöndíj) </div> <div class="lastModified">Last Modified: 2025.03.06. 23:01 András Horváth (mérnöki tudományok) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;">Comments: Funding Agency and Grant Number: Semmelweis University; National Research, Development and Innovation Office of Hungary (NKFIA) [NVKP-16-1-2016-0017, K131458]; Thematic Excellence Programme of the Ministry for Innovation and Technology in Hungary of the Semmelweis University [2020-4.1.1.-TKP2020, TKP2021-EGA-24]; Research Excellence Programme of the National Research, Development and Innovation...</pre> </div></div>