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Items: 1 to 20 of 97

1.

Benchmarking human protein complexes to investigate drug-related systems and evaluate predicted protein complexes.

Wu M, Yu Q, Li X, Zheng J, Huang JF, Kwoh CK.

PLoS One. 2013;8(2):e53197. doi: 10.1371/journal.pone.0053197. Epub 2013 Feb 6.

2.

Discovery of protein complexes with core-attachment structures from Tandem Affinity Purification (TAP) data.

Wu M, Li XL, Kwoh CK, Ng SK, Wong L.

J Comput Biol. 2012 Sep;19(9):1027-42. doi: 10.1089/cmb.2010.0293. Epub 2011 Jul 21.

3.

HAPPI: an online database of comprehensive human annotated and predicted protein interactions.

Chen JY, Mamidipalli S, Huan T.

BMC Genomics. 2009 Jul 7;10 Suppl 1:S16. doi: 10.1186/1471-2164-10-S1-S16.

4.

PCDq: human protein complex database with quality index which summarizes different levels of evidences of protein complexes predicted from h-invitational protein-protein interactions integrative dataset.

Kikugawa S, Nishikata K, Murakami K, Sato Y, Suzuki M, Altaf-Ul-Amin M, Kanaya S, Imanishi T.

BMC Syst Biol. 2012;6 Suppl 2:S7. doi: 10.1186/1752-0509-6-S2-S7. Epub 2012 Dec 12.

5.

MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure.

Srihari S, Ning K, Leong HW.

BMC Bioinformatics. 2010 Oct 12;11:504. doi: 10.1186/1471-2105-11-504.

6.

Assessment of protein domain fusions in human protein interaction networks prediction: application to the human kinetochore model.

Morilla I, Lees JG, Reid AJ, Orengo C, Ranea JA.

N Biotechnol. 2010 Dec 31;27(6):755-65. doi: 10.1016/j.nbt.2010.09.005. Epub 2010 Sep 17.

PMID:
20851221
7.

Predicting the interactome of Xanthomonas oryzae pathovar oryzae for target selection and DB service.

Kim JG, Park D, Kim BC, Cho SW, Kim YT, Park YJ, Cho HJ, Park H, Kim KB, Yoon KO, Park SJ, Lee BM, Bhak J.

BMC Bioinformatics. 2008 Jan 24;9:41. doi: 10.1186/1471-2105-9-41.

8.

Computational analysis of human protein interaction networks.

Ramírez F, Schlicker A, Assenov Y, Lengauer T, Albrecht M.

Proteomics. 2007 Aug;7(15):2541-52.

PMID:
17647236
9.
10.

Interactome mapping for analysis of complex phenotypes: insights from benchmarking binary interaction assays.

Braun P.

Proteomics. 2012 May;12(10):1499-518. doi: 10.1002/pmic.201100598. Review.

PMID:
22589225
11.

FPPI: Fusarium graminearum protein-protein interaction database.

Zhao XM, Zhang XW, Tang WH, Chen L.

J Proteome Res. 2009 Oct;8(10):4714-21. doi: 10.1021/pr900415b.

PMID:
19673500
12.

Triangle network motifs predict complexes by complementing high-error interactomes with structural information.

Andreopoulos B, Winter C, Labudde D, Schroeder M.

BMC Bioinformatics. 2009 Jun 27;10:196. doi: 10.1186/1471-2105-10-196.

13.

A core-attachment based method to detect protein complexes in PPI networks.

Wu M, Li X, Kwoh CK, Ng SK.

BMC Bioinformatics. 2009 Jun 2;10:169. doi: 10.1186/1471-2105-10-169.

14.

Comparative analysis and assessment of M. tuberculosis H37Rv protein-protein interaction datasets.

Zhou H, Wong L.

BMC Genomics. 2011 Nov 30;12 Suppl 3:S20. doi: 10.1186/1471-2164-12-S3-S20. Epub 2011 Nov 30.

15.

Modularity in protein complex and drug interactions reveals new polypharmacological properties.

Nacher JC, Schwartz JM.

PLoS One. 2012;7(1):e30028. doi: 10.1371/journal.pone.0030028. Epub 2012 Jan 18.

16.

Discovering functional interdependence relationship in PPI networks for protein complex identification.

Lam WW, Chan KC.

IEEE Trans Biomed Eng. 2012 Apr;59(4):899-908. doi: 10.1109/TBME.2010.2093524. Epub 2010 Nov 18.

PMID:
21095855
17.

Prediction and analysis of the protein interactome in Pseudomonas aeruginosa to enable network-based drug target selection.

Zhang M, Su S, Bhatnagar RK, Hassett DJ, Lu LJ.

PLoS One. 2012;7(7):e41202. doi: 10.1371/journal.pone.0041202. Epub 2012 Jul 24.

18.

CORUM: the comprehensive resource of mammalian protein complexes.

Ruepp A, Brauner B, Dunger-Kaltenbach I, Frishman G, Montrone C, Stransky M, Waegele B, Schmidt T, Doudieu ON, Stümpflen V, Mewes HW.

Nucleic Acids Res. 2008 Jan;36(Database issue):D646-50. Epub 2007 Oct 26.

19.

Identifying protein complexes from heterogeneous biological data.

Wu M, Xie Z, Li X, Kwoh CK, Zheng J.

Proteins. 2013 Nov;81(11):2023-33. doi: 10.1002/prot.24365. Epub 2013 Aug 23.

20.

Detecting protein complexes in a PPI network: a gene ontology based multi-objective evolutionary approach.

Mukhopadhyay A, Ray S, De M.

Mol Biosyst. 2012 Nov;8(11):3036-48. doi: 10.1039/c2mb25302j. Epub 2012 Sep 18.

PMID:
22990765
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