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Items: 1 to 20 of 104

1.

Lipopolysaccharide treatment induces genome-wide pre-mRNA splicing pattern changes in mouse bone marrow stromal stem cells.

Zhou A, Li M, He B, Feng W, Huang F, Xu B, Dunker AK, Balch C, Li B, Liu Y, Wang Y.

BMC Genomics. 2016 Aug 22;17 Suppl 7:509. doi: 10.1186/s12864-016-2898-5.

2.

Cancer network activity associated with therapeutic response and synergism.

Serra-Musach J, Mateo F, Capdevila-Busquets E, de Garibay GR, Zhang X, Guha R, Thomas CJ, Grueso J, Villanueva A, Jaeger S, Heyn H, Vizoso M, Pérez H, Cordero A, Gonzalez-Suarez E, Esteller M, Moreno-Bueno G, Tjärnberg A, Lázaro C, Serra V, Arribas J, Benson M, Gustafsson M, Ferrer M, Aloy P, Pujana MÀ.

Genome Med. 2016 Aug 24;8(1):88. doi: 10.1186/s13073-016-0340-x.

3.

Molecular Principles of Gene Fusion Mediated Rewiring of Protein Interaction Networks in Cancer.

Latysheva NS, Oates ME, Maddox L, Flock T, Gough J, Buljan M, Weatheritt RJ, Babu MM.

Mol Cell. 2016 Aug 18;63(4):579-92. doi: 10.1016/j.molcel.2016.07.008.

4.

Prevalent Accumulation of Non-Optimal Codons through Somatic Mutations in Human Cancers.

Wu X, Li G.

PLoS One. 2016 Aug 11;11(8):e0160463. doi: 10.1371/journal.pone.0160463. eCollection 2016.

5.

Molecular docking as a popular tool in drug design, an in silico travel.

de Ruyck J, Brysbaert G, Blossey R, Lensink MF.

Adv Appl Bioinform Chem. 2016 Jun 28;9:1-11. doi: 10.2147/AABC.S105289. eCollection 2016. Review.

6.

Large scale analysis of protein stability in OMIM disease related human protein variants.

Martelli PL, Fariselli P, Savojardo C, Babbi G, Aggazio F, Casadio R.

BMC Genomics. 2016 Jun 23;17 Suppl 2:397. doi: 10.1186/s12864-016-2726-y.

7.

A convex optimization approach for identification of human tissue-specific interactomes.

Mohammadi S, Grama A.

Bioinformatics. 2016 Jun 15;32(12):i243-i252. doi: 10.1093/bioinformatics/btw245.

8.

Computational approaches in target identification and drug discovery.

Katsila T, Spyroulias GA, Patrinos GP, Matsoukas MT.

Comput Struct Biotechnol J. 2016 May 7;14:177-84. doi: 10.1016/j.csbj.2016.04.004. eCollection 2016. Review.

9.

PinSnps: structural and functional analysis of SNPs in the context of protein interaction networks.

Lu HC, Herrera Braga J, Fraternali F.

Bioinformatics. 2016 Aug 15;32(16):2534-6. doi: 10.1093/bioinformatics/btw153. Epub 2016 Mar 24.

10.

Structure-Based Analysis Reveals Cancer Missense Mutations Target Protein Interaction Interfaces.

Engin HB, Kreisberg JF, Carter H.

PLoS One. 2016 Apr 4;11(4):e0152929. doi: 10.1371/journal.pone.0152929. eCollection 2016.

11.

Systems psychopharmacology: A network approach to developing novel therapies.

Gebicke-Haerter PJ.

World J Psychiatry. 2016 Mar 22;6(1):66-83. doi: 10.5498/wjp.v6.i1.66. eCollection 2016 Mar 22. Review.

12.

Systems biology of the structural proteome.

Brunk E, Mih N, Monk J, Zhang Z, O'Brien EJ, Bliven SE, Chen K, Chang RL, Bourne PE, Palsson BO.

BMC Syst Biol. 2016 Mar 11;10:26. doi: 10.1186/s12918-016-0271-6.

13.

Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer.

Wu MY, Zhang XF, Dai DQ, Ou-Yang L, Zhu Y, Yan H.

BMC Bioinformatics. 2016 Feb 27;17:108. doi: 10.1186/s12859-016-0951-7.

14.

Binding interface change and cryptic variation in the evolution of protein-protein interactions.

Ames RM, Talavera D, Williams SG, Robertson DL, Lovell SC.

BMC Evol Biol. 2016 Feb 18;16:40. doi: 10.1186/s12862-016-0608-1.

15.

mutation3D: Cancer Gene Prediction Through Atomic Clustering of Coding Variants in the Structural Proteome.

Meyer MJ, Lapcevic R, Romero AE, Yoon M, Das J, Beltrán JF, Mort M, Stenson PD, Cooper DN, Paccanaro A, Yu H.

Hum Mutat. 2016 May;37(5):447-56. doi: 10.1002/humu.22963. Epub 2016 Feb 18.

PMID:
26841357
16.

DOMMINO 2.0: integrating structurally resolved protein-, RNA-, and DNA-mediated macromolecular interactions.

Kuang X, Dhroso A, Han JG, Shyu CR, Korkin D.

Database (Oxford). 2016 Jan 30;2016. pii: bav114. doi: 10.1093/database/bav114. Print 2016.

17.

A Proteome-wide Fission Yeast Interactome Reveals Network Evolution Principles from Yeasts to Human.

Vo TV, Das J, Meyer MJ, Cordero NA, Akturk N, Wei X, Fair BJ, Degatano AG, Fragoza R, Liu LG, Matsuyama A, Trickey M, Horibata S, Grimson A, Yamano H, Yoshida M, Roth FP, Pleiss JA, Xia Y, Yu H.

Cell. 2016 Jan 14;164(1-2):310-23. doi: 10.1016/j.cell.2015.11.037.

PMID:
26771498
18.

Integration of structural dynamics and molecular evolution via protein interaction networks: a new era in genomic medicine.

Kumar A, Butler BM, Kumar S, Ozkan SB.

Curr Opin Struct Biol. 2015 Dec;35:135-42. doi: 10.1016/j.sbi.2015.11.002. Epub 2015 Dec 9. Review.

PMID:
26684487
19.

Fundamentals of protein interaction network mapping.

Snider J, Kotlyar M, Saraon P, Yao Z, Jurisica I, Stagljar I.

Mol Syst Biol. 2015 Dec 17;11(12):848. doi: 10.15252/msb.20156351. Review.

20.

Reads meet rotamers: structural biology in the age of deep sequencing.

Sethi A, Clarke D, Chen J, Kumar S, Galeev TR, Regan L, Gerstein M.

Curr Opin Struct Biol. 2015 Dec;35:125-34. doi: 10.1016/j.sbi.2015.11.003. Epub 2015 Dec 1. Review.

PMID:
26658741
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