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Items: 1 to 20 of 87

1.

Systems Modeling at Multiple Levels of Regulation: Linking Systems and Genetic Networks to Spatially Explicit Plant Populations.

Kitchen JL, Allaby RG.

Plants (Basel). 2013 Jan 25;2(1):16-49. doi: 10.3390/plants2010016. Review.

2.

A mix-and-read drop-based in vitro two-hybrid method for screening high-affinity peptide binders.

Cui N, Zhang H, Schneider N, Tao Y, Asahara H, Sun Z, Cai Y, Koehler SA, de Greef TF, Abbaspourrad A, Weitz DA, Chong S.

Sci Rep. 2016 Mar 4;6:22575. doi: 10.1038/srep22575.

3.

Exome sequencing reveals genetic differentiation due to high-altitude adaptation in the Tibetan cashmere goat (Capra hircus).

Song S, Yao N, Yang M, Liu X, Dong K, Zhao Q, Pu Y, He X, Guan W, Yang N, Ma Y, Jiang L.

BMC Genomics. 2016 Feb 18;17:122. doi: 10.1186/s12864-016-2449-0.

4.

HitPredict version 4: comprehensive reliability scoring of physical protein-protein interactions from more than 100 species.

López Y, Nakai K, Patil A.

Database (Oxford). 2015 Dec 26;2015. pii: bav117. doi: 10.1093/database/bav117. Print 2015.

5.

Patterns of Gene Conversion in Duplicated Yeast Histones Suggest Strong Selection on a Coadapted Macromolecular Complex.

Scienski K, Fay JC, Conant GC.

Genome Biol Evol. 2015 Nov 11;7(12):3249-58. doi: 10.1093/gbe/evv216.

6.

A Rich-Club Organization in Brain Ischemia Protein Interaction Network.

Alawieh A, Sabra Z, Sabra M, Tomlinson S, Zaraket FA.

Sci Rep. 2015 Aug 27;5:13513. doi: 10.1038/srep13513.

7.

Environmental Pressure May Change the Composition Protein Disorder in Prokaryotes.

Vicedo E, Schlessinger A, Rost B.

PLoS One. 2015 Aug 7;10(8):e0133990. doi: 10.1371/journal.pone.0133990. eCollection 2015.

8.

BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency.

Shi X, Wang X, Shajahan A, Hilakivi-Clarke L, Clarke R, Xuan J.

BMC Genomics. 2015;16 Suppl 7:S10. doi: 10.1186/1471-2164-16-S7-S10. Epub 2015 Jun 11.

9.

A predicted protein interactome identifies conserved global networks and disease resistance subnetworks in maize.

Musungu B, Bhatnagar D, Brown RL, Fakhoury AM, Geisler M.

Front Genet. 2015 Jun 4;6:201. doi: 10.3389/fgene.2015.00201. eCollection 2015.

10.

In silico prediction of synthetic lethality by meta-analysis of genetic interactions, functions, and pathways in yeast and human cancer.

Wu M, Li X, Zhang F, Li X, Kwoh CK, Zheng J.

Cancer Inform. 2014 Nov 5;13(Suppl 3):71-80. doi: 10.4137/CIN.S14026. eCollection 2014.

11.

Dissecting the human protein-protein interaction network via phylogenetic decomposition.

Chen CY, Ho A, Huang HY, Juan HF, Huang HC.

Sci Rep. 2014 Nov 21;4:7153. doi: 10.1038/srep07153.

12.

Modelling the yeast interactome.

Janjić V, Sharan R, Pržulj N.

Sci Rep. 2014 Mar 4;4:4273. doi: 10.1038/srep04273.

13.

Differential enrichment of regulatory motifs in the composite network of protein-protein and gene regulatory interactions.

Hegde SR, Pal K, Mande SC.

BMC Syst Biol. 2014 Feb 27;8:26. doi: 10.1186/1752-0509-8-26.

14.

How to use not-always-reliable binding site information in protein-protein docking prediction.

Li L, Huang Y, Xiao Y.

PLoS One. 2013 Oct 4;8(10):e75936. doi: 10.1371/journal.pone.0075936. eCollection 2013.

15.

Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers.

Attarha S, Andersson S, Mints M, Souchelnytskyi S.

Br J Cancer. 2013 Aug 6;109(3):704-13. doi: 10.1038/bjc.2013.359. Epub 2013 Jul 9.

16.

Complementing the Eukaryotic Protein Interactome.

Pesch R, Zimmer R.

PLoS One. 2013 Jun 18;8(6):e66635. doi: 10.1371/journal.pone.0066635. Print 2013.

17.

Systems biology approaches for discovering biomarkers for traumatic brain injury.

Feala JD, Abdulhameed MD, Yu C, Dutta B, Yu X, Schmid K, Dave J, Tortella F, Reifman J.

J Neurotrauma. 2013 Jul 1;30(13):1101-16. doi: 10.1089/neu.2012.2631. Review.

18.

Identifying correlations between chromosomal proximity of genes and distance of their products in protein-protein interaction networks of yeast.

Santoni D, Castiglione F, Paci P.

PLoS One. 2013;8(3):e57707. doi: 10.1371/journal.pone.0057707. Epub 2013 Mar 6.

19.

Application of Top-Down and Bottom-up Systems Approaches in Ruminant Physiology and Metabolism.

Shahzad K, Loor JJ.

Curr Genomics. 2012 Aug;13(5):379-94. doi: 10.2174/138920212801619269.

20.
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