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Best matches for Barabási A[au]:

Network medicine: a network-based approach to human disease. Barabási AL et al. Nat Rev Genet. (2011)

A proteome-scale map of the human interactome network. Rolland T et al. Cell. (2014)

Disease networks. Uncovering disease-disease relationships through the incomplete interactome. Menche J et al. Science. (2015)

Search results

Items: 1 to 50 of 192

1.

Publisher Correction: Network-based prediction of drug combinations.

Cheng F, Kovács IA, Barabási AL.

Nat Commun. 2019 Apr 15;10(1):1806. doi: 10.1038/s41467-019-09692-y.

2.

The universal decay of collective memory and attention.

Candia C, Jara-Figueroa C, Rodriguez-Sickert C, Barabási AL, Hidalgo CA.

Nat Hum Behav. 2019 Jan;3(1):82-91. doi: 10.1038/s41562-018-0474-5. Epub 2018 Dec 10.

PMID:
30932052
3.

Author Correction: Universal resilience patterns in complex networks.

Gao J, Barzel B, Barabási AL.

Nature. 2019 Apr;568(7751):E5. doi: 10.1038/s41586-019-1091-9.

PMID:
30918410
4.

Network-based prediction of protein interactions.

Kovács IA, Luck K, Spirohn K, Wang Y, Pollis C, Schlabach S, Bian W, Kim DK, Kishore N, Hao T, Calderwood MA, Vidal M, Barabási AL.

Nat Commun. 2019 Mar 18;10(1):1240. doi: 10.1038/s41467-019-09177-y.

5.

Network-based prediction of drug combinations.

Cheng F, Kovács IA, Barabási AL.

Nat Commun. 2019 Mar 13;10(1):1197. doi: 10.1038/s41467-019-09186-x. Erratum in: Nat Commun. 2019 Apr 15;10(1):1806.

6.

Uremic Toxin Indoxyl Sulfate Promotes Proinflammatory Macrophage Activation Via the Interplay of OATP2B1 and Dll4-Notch Signaling.

Nakano T, Katsuki S, Chen M, Decano JL, Halu A, Lee LH, Pestana DVS, Kum AST, Kuromoto RK, Golden WS, Boff MS, Guimaraes GC, Higashi H, Kauffman KJ, Maejima T, Suzuki T, Iwata H, Barabási AL, Aster JC, Anderson DG, Sharma A, Singh SA, Aikawa E, Aikawa M.

Circulation. 2019 Jan 2;139(1):78-96. doi: 10.1161/CIRCULATIONAHA.118.034588.

PMID:
30586693
7.

The chaperone effect in scientific publishing.

Sekara V, Deville P, Ahnert SE, Barabási AL, Sinatra R, Lehmann S.

Proc Natl Acad Sci U S A. 2018 Dec 11;115(50):12603-12607. doi: 10.1073/pnas.1800471115. Epub 2018 Dec 10.

8.

A structural transition in physical networks.

Dehmamy N, Milanlouei S, Barabási AL.

Nature. 2018 Nov;563(7733):676-680. doi: 10.1038/s41586-018-0726-6. Epub 2018 Nov 28.

9.

Quantifying reputation and success in art.

Fraiberger SP, Sinatra R, Resch M, Riedl C, Barabási AL.

Science. 2018 Nov 16;362(6416):825-829. doi: 10.1126/science.aau7224. Epub 2018 Nov 8.

PMID:
30409804
10.

Functional structures of US state governments.

Kosack S, Coscia M, Smith E, Albrecht K, Barabási AL, Hausmann R.

Proc Natl Acad Sci U S A. 2018 Nov 13;115(46):11748-11753. doi: 10.1073/pnas.1803228115. Epub 2018 Oct 29.

11.

Caenorhabditis elegans and the network control framework-FAQs.

Towlson EK, Vértes PE, Yan G, Chew YL, Walker DS, Schafer WR, Barabási AL.

Philos Trans R Soc Lond B Biol Sci. 2018 Sep 10;373(1758). pii: 20170372. doi: 10.1098/rstb.2017.0372. Review.

12.

Network-based approach to prediction and population-based validation of in silico drug repurposing.

Cheng F, Desai RJ, Handy DE, Wang R, Schneeweiss S, Barabási AL, Loscalzo J.

Nat Commun. 2018 Jul 12;9(1):2691. doi: 10.1038/s41467-018-05116-5.

13.

Controllability in an islet specific regulatory network identifies the transcriptional factor NFATC4, which regulates Type 2 Diabetes associated genes.

Sharma A, Halu A, Decano JL, Padi M, Liu YY, Prasad RB, Fadista J, Santolini M, Menche J, Weiss ST, Vidal M, Silverman EK, Aikawa M, Barabási AL, Groop L, Loscalzo J.

NPJ Syst Biol Appl. 2018 Jul 3;4:25. doi: 10.1038/s41540-018-0057-0. eCollection 2018.

14.

Predicting perturbation patterns from the topology of biological networks.

Santolini M, Barabási AL.

Proc Natl Acad Sci U S A. 2018 Jul 3;115(27):E6375-E6383. doi: 10.1073/pnas.1720589115. Epub 2018 Jun 20.

15.

Science of science.

Fortunato S, Bergstrom CT, Börner K, Evans JA, Helbing D, Milojević S, Petersen AM, Radicchi F, Sinatra R, Uzzi B, Vespignani A, Waltman L, Wang D, Barabási AL.

Science. 2018 Mar 2;359(6379). pii: eaao0185. doi: 10.1126/science.aao0185. Review.

16.

A diseasome cluster-based drug repurposing of soluble guanylate cyclase activators from smooth muscle relaxation to direct neuroprotection.

Langhauser F, Casas AI, Dao VT, Guney E, Menche J, Geuss E, Kleikers PWM, López MG, Barabási AL, Kleinschnitz C, Schmidt HHHW.

NPJ Syst Biol Appl. 2018 Feb 5;4:8. doi: 10.1038/s41540-017-0039-7. eCollection 2018.

17.

The fundamental advantages of temporal networks.

Li A, Cornelius SP, Liu YY, Wang L, Barabási AL.

Science. 2017 Nov 24;358(6366):1042-1046. doi: 10.1126/science.aai7488.

PMID:
29170233
18.

Recordings of Caenorhabditis elegans locomotor behaviour following targeted ablation of single motorneurons.

Chew YL, Walker DS, Towlson EK, Vértes PE, Yan G, Barabási AL, Schafer WR.

Sci Data. 2017 Oct 19;4:170156. doi: 10.1038/sdata.2017.156.

19.

Network control principles predict neuron function in the Caenorhabditis elegans connectome.

Yan G, Vértes PE, Towlson EK, Chew YL, Walker DS, Schafer WR, Barabási AL.

Nature. 2017 Oct 26;550(7677):519-523. doi: 10.1038/nature24056. Epub 2017 Oct 18.

20.

The elegant law that governs us all.

Barabási AL.

Science. 2017 Jul 14;357(6347):138. doi: 10.1126/science.aan4040. Epub 2017 Jul 13. No abstract available.

PMID:
28706031
21.

Integrating personalized gene expression profiles into predictive disease-associated gene pools.

Menche J, Guney E, Sharma A, Branigan PJ, Loza MJ, Baribaud F, Dobrin R, Barabási AL.

NPJ Syst Biol Appl. 2017 Mar 13;3:10. doi: 10.1038/s41540-017-0009-0. eCollection 2017.

22.

Academia under fire in Hungary.

Barabási AL.

Science. 2017 May 12;356(6338):563. doi: 10.1126/science.aan5395. No abstract available.

PMID:
28495702
23.

Epigenomic and transcriptomic approaches in the post-genomic era: path to novel targets for diagnosis and therapy of the ischaemic heart? Position Paper of the European Society of Cardiology Working Group on Cellular Biology of the Heart.

Perrino C, Barabási AL, Condorelli G, Davidson SM, De Windt L, Dimmeler S, Engel FB, Hausenloy DJ, Hill JA, Van Laake LW, Lecour S, Leor J, Madonna R, Mayr M, Prunier F, Sluijter JPG, Schulz R, Thum T, Ytrehus K, Ferdinandy P.

Cardiovasc Res. 2017 Jun 1;113(7):725-736. doi: 10.1093/cvr/cvx070. Review.

24.

Identifying and modeling the structural discontinuities of human interactions.

Grauwin S, Szell M, Sobolevsky S, Hövel P, Simini F, Vanhoof M, Smoreda Z, Barabási AL, Ratti C.

Sci Rep. 2017 Apr 26;7:46677. doi: 10.1038/srep46677.

25.

Corrigendum: Trade-offs between driving nodes and time-to-control in complex networks.

Pequito S, Preciado VM, Barabási AL, Pappas GJ.

Sci Rep. 2017 Mar 9;7:43194. doi: 10.1038/srep43194. No abstract available.

26.

From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration.

Gomez-Cabrero D, Menche J, Vargas C, Cano I, Maier D, Barabási AL, Tegnér J, Roca J; Synergy-COPD Consortia.

BMC Bioinformatics. 2016 Nov 22;17(Suppl 15):441. doi: 10.1186/s12859-016-1291-3.

27.

Fundamental limitations of network reconstruction from temporal data.

Angulo MT, Moreno JA, Lippner G, Barabási AL, Liu YY.

J R Soc Interface. 2017 Feb;14(127). pii: 20160966. doi: 10.1098/rsif.2016.0966.

28.

Trade-offs between driving nodes and time-to-control in complex networks.

Pequito S, Preciado VM, Barabási AL, Pappas GJ.

Sci Rep. 2017 Jan 5;7:39978. doi: 10.1038/srep39978. Erratum in: Sci Rep. 2017 Mar 09;7:43194.

29.

Quantifying the evolution of individual scientific impact.

Sinatra R, Wang D, Deville P, Song C, Barabási AL.

Science. 2016 Nov 4;354(6312). pii: aaf5239.

PMID:
27811240
30.

PARP9 and PARP14 cross-regulate macrophage activation via STAT1 ADP-ribosylation.

Iwata H, Goettsch C, Sharma A, Ricchiuto P, Goh WW, Halu A, Yamada I, Yoshida H, Hara T, Wei M, Inoue N, Fukuda D, Mojcher A, Mattson PC, Barabási AL, Boothby M, Aikawa E, Singh SA, Aikawa M.

Nat Commun. 2016 Oct 31;7:12849. doi: 10.1038/ncomms12849.

31.

Tissue Specificity of Human Disease Module.

Kitsak M, Sharma A, Menche J, Guney E, Ghiassian SD, Loscalzo J, Barabási AL.

Sci Rep. 2016 Oct 17;6:35241. doi: 10.1038/srep35241.

32.

Controllability of multiplex, multi-time-scale networks.

Pósfai M, Gao J, Cornelius SP, Barabási AL, D'Souza RM.

Phys Rev E. 2016 Sep;94(3-1):032316. Epub 2016 Sep 26.

PMID:
27739809
33.

Endophenotype Network Models: Common Core of Complex Diseases.

Ghiassian SD, Menche J, Chasman DI, Giulianini F, Wang R, Ricchiuto P, Aikawa M, Iwata H, Müller C, Zeller T, Sharma A, Wild P, Lackner K, Singh S, Ridker PM, Blankenberg S, Barabási AL, Loscalzo J.

Sci Rep. 2016 Jun 9;6:27414. doi: 10.1038/srep27414.

34.

Scaling identity connects human mobility and social interactions.

Deville P, Song C, Eagle N, Blondel VD, Barabási AL, Wang D.

Proc Natl Acad Sci U S A. 2016 Jun 28;113(26):7047-52. doi: 10.1073/pnas.1525443113. Epub 2016 Jun 6.

35.

Control of fluxes in metabolic networks.

Basler G, Nikoloski Z, Larhlimi A, Barabási AL, Liu YY.

Genome Res. 2016 Jul;26(7):956-68. doi: 10.1101/gr.202648.115. Epub 2016 May 19.

36.

Universal resilience patterns in complex networks.

Gao J, Barzel B, Barabási AL.

Nature. 2016 Aug 11;536(7615):238. doi: 10.1038/nature18019. Epub 2016 May 4. No abstract available.

PMID:
27144362
37.

An inter-species protein-protein interaction network across vast evolutionary distance.

Zhong Q, Pevzner SJ, Hao T, Wang Y, Mosca R, Menche J, Taipale M, Taşan M, Fan C, Yang X, Haley P, Murray RR, Mer F, Gebreab F, Tam S, MacWilliams A, Dricot A, Reichert P, Santhanam B, Ghamsari L, Calderwood MA, Rolland T, Charloteaux B, Lindquist S, Barabási AL, Hill DE, Aloy P, Cusick ME, Xia Y, Roth FP, Vidal M.

Mol Syst Biol. 2016 Apr 22;12(4):865. doi: 10.15252/msb.20156484.

38.

Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets.

Vinayagam A, Gibson TE, Lee HJ, Yilmazel B, Roesel C, Hu Y, Kwon Y, Sharma A, Liu YY, Perrimon N, Barabási AL.

Proc Natl Acad Sci U S A. 2016 May 3;113(18):4976-81. doi: 10.1073/pnas.1603992113. Epub 2016 Apr 18.

39.

Universal resilience patterns in complex networks.

Gao J, Barzel B, Barabási AL.

Nature. 2016 Feb 18;530(7590):307-12. doi: 10.1038/nature16948. Erratum in: Nature. 2016 Aug 11;536(7615):238. Nature. 2019 Apr;568(7751):E5.

PMID:
26887493
40.

Network-based in silico drug efficacy screening.

Guney E, Menche J, Vidal M, Barábasi AL.

Nat Commun. 2016 Feb 1;7:10331. doi: 10.1038/ncomms10331.

41.

Canonical genetic signatures of the adult human brain.

Hawrylycz M, Miller JA, Menon V, Feng D, Dolbeare T, Guillozet-Bongaarts AL, Jegga AG, Aronow BJ, Lee CK, Bernard A, Glasser MF, Dierker DL, Menche J, Szafer A, Collman F, Grange P, Berman KA, Mihalas S, Yao Z, Stewart L, Barabási AL, Schulkin J, Phillips J, Ng L, Dang C, Haynor DR, Jones A, Van Essen DC, Koch C, Lein E.

Nat Neurosci. 2015 Dec;18(12):1832-44. doi: 10.1038/nn.4171. Epub 2015 Nov 16.

42.

Returners and explorers dichotomy in human mobility.

Pappalardo L, Simini F, Rinzivillo S, Pedreschi D, Giannotti F, Barabási AL.

Nat Commun. 2015 Sep 8;6:8166. doi: 10.1038/ncomms9166.

43.

Network science: Destruction perfected.

Kovács IA, Barabási AL.

Nature. 2015 Aug 6;524(7563):38-9. doi: 10.1038/524038a. No abstract available.

PMID:
26245576
44.

Constructing minimal models for complex system dynamics.

Barzel B, Liu YY, Barabási AL.

Nat Commun. 2015 May 20;6:7186. doi: 10.1038/ncomms8186.

PMID:
25990707
45.

Widespread macromolecular interaction perturbations in human genetic disorders.

Sahni N, Yi S, Taipale M, Fuxman Bass JI, Coulombe-Huntington J, Yang F, Peng J, Weile J, Karras GI, Wang Y, Kovács IA, Kamburov A, Krykbaeva I, Lam MH, Tucker G, Khurana V, Sharma A, Liu YY, Yachie N, Zhong Q, Shen Y, Palagi A, San-Miguel A, Fan C, Balcha D, Dricot A, Jordan DM, Walsh JM, Shah AA, Yang X, Stoyanova AK, Leighton A, Calderwood MA, Jacob Y, Cusick ME, Salehi-Ashtiani K, Whitesell LJ, Sunyaev S, Berger B, Barabási AL, Charloteaux B, Hill DE, Hao T, Roth FP, Xia Y, Walhout AJM, Lindquist S, Vidal M.

Cell. 2015 Apr 23;161(3):647-660. doi: 10.1016/j.cell.2015.04.013.

46.

A DIseAse MOdule Detection (DIAMOnD) algorithm derived from a systematic analysis of connectivity patterns of disease proteins in the human interactome.

Ghiassian SD, Menche J, Barabási AL.

PLoS Comput Biol. 2015 Apr 8;11(4):e1004120. doi: 10.1371/journal.pcbi.1004120. eCollection 2015 Apr.

47.

Response to letter of correspondence - Bastiaens et al.

Barzel B, Barabási AL.

Nat Biotechnol. 2015 Apr;33(4):339-42. doi: 10.1038/nbt.3184. No abstract available.

PMID:
25850053
48.

Disease networks. Uncovering disease-disease relationships through the incomplete interactome.

Menche J, Sharma A, Kitsak M, Ghiassian SD, Vidal M, Loscalzo J, Barabási AL.

Science. 2015 Feb 20;347(6224):1257601. doi: 10.1126/science.1257601.

49.

A disease module in the interactome explains disease heterogeneity, drug response and captures novel pathways and genes in asthma.

Sharma A, Menche J, Huang CC, Ort T, Zhou X, Kitsak M, Sahni N, Thibault D, Voung L, Guo F, Ghiassian SD, Gulbahce N, Baribaud F, Tocker J, Dobrin R, Barnathan E, Liu H, Panettieri RA Jr, Tantisira KG, Qiu W, Raby BA, Silverman EK, Vidal M, Weiss ST, Barabási AL.

Hum Mol Genet. 2015 Jun 1;24(11):3005-20. doi: 10.1093/hmg/ddv001. Epub 2015 Jan 12.

50.

Modules, networks and systems medicine for understanding disease and aiding diagnosis.

Gustafsson M, Nestor CE, Zhang H, Barabási AL, Baranzini S, Brunak S, Chung KF, Federoff HJ, Gavin AC, Meehan RR, Picotti P, Pujana MÀ, Rajewsky N, Smith KG, Sterk PJ, Villoslada P, Benson M.

Genome Med. 2014 Oct 17;6(10):82. doi: 10.1186/s13073-014-0082-6. eCollection 2014.

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