https://m2.mtmt.hu/ hun 2026-09-22 13:38 JournalArticle 33716675 VALIDATED true Funding Agency and Grant Number: ERC [788893 AMDROMA]; EC [H2020RIA, 871042]; MIUR PRIN project ALGADIMAR "Algorithms, Games, and Digital Markets"; Wallonia-Brussels International (WBI)-World Excellence Fellowship; Fonds de la Recherche Scientifique (FRS-FNRS)-Televie Grant [FC31747, 7459421F]; Herman-van Beneden Prize; Leon Fredericq Foundation-Josee & Jean Schmets Prize; Fonds de la Recherche Scientifique (FRS-FNRS); (Wallonia-Brussels Federation, Belgium); National Institute of Health [R01 GM130885]; National Research, Development and Innovation Office of Hungary (National Heart Program) [NVKP 16-1-2016-0017, 2020-4.1.1, TKP2020]; Ministry for Innovation and Technology in Hungary; Bioimaging thematic programmes of the Semmelweis University [RRF-2.3.1-21-2022-00003]; European Union [810115 - DYNASNET]; National Institutes of Health [R01AI141529, R01HD093761, RF1AG067744, UH3OD023268, U19AI095219, U01HL089856]; American Heart Association [D700382, CV-19]; Veteran's Affairs Medical Center of Boston [36C24122N0769]; NIH [1P01HL132825] Funding text: L.M., A.F., and L.B. were partially supported by the ERC Advanced Grant 788893 AMDROMA "Algorithmic and Mechanism Design Research in Online Markets", the EC H2020RIA project "SoBigData++" (871042), and the MIUR PRIN project ALGADIMAR "Algorithms, Games, and Digital Markets". F.L. was supported by a Wallonia-Brussels International (WBI)-World Excellence Fellowship, a Fonds de la Recherche Scientifique (FRS-FNRS)-Televie Grant (FC31747, Credit no. 7459421F), a Herman-van Beneden Prize and a Leon Fredericq Foundation-Josee & Jean Schmets Prize. M.V. is a Chercheur Qualifie Honoraire from the Fonds de la Recherche Scientifique (FRS-FNRS, Wallonia-Brussels Federation, Belgium). M.V acknowledges support from the National Institute of Health (R01 GM130885). P.F. and B.a. were supported by the National Research, Development and Innovation Office of Hungary (National Heart Program NVKP 16-1-2016-0017) and the Thematic Excellence Programme (2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the Therapeutic Development and Bioimaging thematic programmes of the Semmelweis University. Project no. RRF-2.3.1-21-2022-00003 has been implemented with the support provided by the European Union. JL acknowledges support from the National Institutes of Health (R01 HL155107, R01 HL155096, U01 HG007690, and U54 HL119145); and from the American Heart Association (D700382 and CV-19). A-LB is supported by the Veteran's Affairs Medical Center of Boston Contract #36C24122N0769, the NIH grant #1P01HL132825 And the European Union's Horizon 2020 research and innovation programme under grant agreement No 810115 - DYNASNET. Y.-Y.L. acknowledges grants from National Institutes of Health (R01AI141529, R01HD093761, RF1AG067744, UH3OD023268, U19AI095219, and U01HL089856). 0 false 2026-09-17T21:46:54.796+0000 2026-01-22T13:14:00.797+0000 2023-03-25T18:53:25.749+0000 true 10026589 Tichy Rita /api/admin/10026589 Admin true 10026589 2026-09-10T12:17:39.142+0000 2024-07-25T08:32:18.725+0000 true 10015546 Berhidi Anna /api/admin/10015546 Admin true 10015546 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000359 Study Group true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000359 Sokszerzős vagy csoportos szerzőségű szakcikk SubType 104 true 10000359 true 1 /api/category/1 Category true 1 Wang, Xu-Wen Assessment of community efforts to advance network-based prediction of protein–protein interactions true true /api/journal/10015678 REVIEWED true false 10015678 false 10015678 true 2041-1723 Journal FOREIGN 14 1 1582 1582 14 2023 Comprehensive understanding of the human protein-protein interaction (PPI) network, aka the human interactome, can provide important insights into the molecular mechanisms of complex biological processes and diseases. Despite the remarkable experimental efforts undertaken to date to determine the structure of the human interactome, many PPIs remain unmapped. Computational approaches, especially network-based methods, can facilitate the identification of previously uncharacterized PPIs. Many such methods have been proposed. Yet, a systematic evaluation of existing network-based methods in predicting PPIs is still lacking. Here, we report community efforts initiated by the International Network Medicine Consortium to benchmark the ability of 26 representative network-based methods to predict PPIs across six different interactomes of four different organisms: A. thaliana , C. elegans , S. cerevisiae , and H. sapiens . Through extensive computational and experimental validations, we found that advanced similarity-based methods, which leverage the underlying network characteristics of PPIs, show superior performance over other general link prediction methods in the interactomes we considered. 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10.1145/2939672.2939754 false true Reference 39583611 /api/reference/39583611 81 false true Reference 39583612 /api/reference/39583612 82 10.1504/IJDMB.2020.109502 false true Reference 39583613 /api/reference/39583613 83 10.1093/nar/gkt913 false true /api/publication/33716675 <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" >Wang Xu-Wen </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10018283"><a href="/gui2/?type=authors&mode=browse&sel=10018283" target="_blank">Kovács István A. (<span class="authorship-author-name">Kovács István</span> <span class="authorAux-mtmt"> Statisztikus fizika</span>) </a> </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10082699"><a href="/gui2/?type=authors&mode=browse&sel=10082699" target="_blank">Balogh Olivér M. (<span class="authorship-author-name">Balogh Olivér Márton</span> <span class="authorAux-mtmt"> Mesterséges intelligencia, Adat tudomány</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>/Farmakológiai és Farmakoterápiás Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Farmakológiai és Farmakoterápiás Intézet">FFI</span>/MTA-SE Rendszerfarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10069234"><a href="/gui2/?type=authors&mode=browse&sel=10069234" target="_blank">Benczik Bettina (<span class="authorship-author-name">Benczik Bettina</span> <span class="authorAux-mtmt"> Bioinformatika</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>/Farmakológiai és Farmakoterápiás Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Farmakológiai és Farmakoterápiás Intézet">FFI</span>/MTA-SE Rendszerfarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10065329"><a href="/gui2/?type=authors&mode=browse&sel=10065329" target="_blank">Pétervári Mátyás (<span class="authorship-author-name">Pétervári Mátyás</span> <span class="authorAux-mtmt"> Farmakológia</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>/Farmakológiai és Farmakoterápiás Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Farmakológiai és Farmakoterápiás Intézet">FFI</span>/MTA-SE Rendszerfarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10057401"><a href="/gui2/?type=authors&mode=browse&sel=10057401" target="_blank">Ágg Bence (<span class="authorship-author-name">Ágg Bence</span> <span class="authorAux-mtmt"> Farmakológia</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>/Farmakológiai és Farmakoterápiás Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Farmakológiai és Farmakoterápiás Intézet">FFI</span>/MTA-SE Rendszerfarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10010125"><a href="/gui2/?type=authors&mode=browse&sel=10010125" target="_blank">Ferdinandy Péter (<span class="authorship-author-name">Ferdinandy Péter</span> <span class="authorAux-mtmt"> Farmakológia, molekuláris medicina</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>/Farmakológiai és Farmakoterápiás Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Intézet">I</span>/<span title="Farmakológiai és Farmakoterápiás Intézet">FFI</span>/MTA-SE Rendszerfarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; et al. (31) </div> <div><a target="_blank" href="/api/publication/33716675?labelLang=hun">Összes szerző</a></div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;33716675" target="_blank">Assessment of community efforts to advance network-based prediction of protein–protein interactions</a></div> <div> <span class="journal-title">NATURE COMMUNICATIONS</span> <span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/2041-1723">2041-1723</a>)</span>: <span class="journal-volume">14</span> <span class="journal-issue">1</span> <span class="page"> Paper 1582. 14 p. </span> <span class="year">(2023)</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="10.1038/s41467-023-37079-7" target="_blank" href="https://doi.org/10.1038/s41467-023-37079-7"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001063479500006" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001063479500006"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85150798089" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85150798089"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="36949045" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=36949045&dopt=Abstract"> PubMed </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="https://www.nature.com/articles/s41467-023-37079-7" target="_blank" href="https://www.nature.com/articles/s41467-023-37079-7"> Egyéb URL </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Biochemistry, Genetics and Molecular Biology (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Chemistry (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Physics and Astronomy (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Regionális Tudományok Bizottsága IXGJO RTB [1901-]&nbsp;&nbsp;&nbsp;A nemzetközi</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: 43</span> | Független: 39 | Függő: 4 | Nem jelölt: 0 | WoS jelölt: 35 | Scopus jelölt:&nbsp;41 | WoS/Scopus jelölt:&nbsp;41 | DOI jelölt:&nbsp;42 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;33716675&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 7 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 33716675</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Sokszerzős vagy csoportos szerzőségű szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="funder"> National Heart Program(NVKP-16-1-2016-0017) Támogató: NKFIH, Thematic Excellence Program (Semmelweis University)(2020-4.1.1.-TKP2020) Támogató: Innovációs és Technológiai Minisztérium, Nemzeti Kardiovaszkuláris Laboratórium(RRF-2.3.1-21-2022-00003) Támogató: NKFIH </div> <div class="lastModified">Utolsó módosítás: 2026.01.22. 14:14 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: ERC [788893 AMDROMA]; EC [H2020RIA, 871042]; MIUR PRIN project ALGADIMAR "Algorithms, Games, and Digital Markets"; Wallonia-Brussels International (WBI)-World Excellence Fellowship; Fonds de la Recherche Scientifique (FRS-FNRS)-Televie Grant [FC31747, 7459421F]; Herman-van Beneden Prize; Leon Fredericq Foundation-Josee & Jean Schmets Prize; Fonds de la Recherche...</pre> </div></div>