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Items: 1 to 20 of 106

1.

Autophagy-related intrinsically disordered proteins in intra-nuclear compartments.

Na I, Meng F, Kurgan L, Uversky VN.

Mol Biosyst. 2016 Aug 16;12(9):2798-817. doi: 10.1039/c6mb00069j.

PMID:
27377881
2.

DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences.

Meng F, Kurgan L.

Bioinformatics. 2016 Jun 15;32(12):i341-i350. doi: 10.1093/bioinformatics/btw280.

3.

PSIONplus: Accurate Sequence-Based Predictor of Ion Channels and Their Types.

Gao J, Cui W, Sheng Y, Ruan J, Kurgan L.

PLoS One. 2016 Apr 4;11(4):e0152964. doi: 10.1371/journal.pone.0152964. eCollection 2016.

4.

Disordered nucleiome: Abundance of intrinsic disorder in the DNA- and RNA-binding proteins in 1121 species from Eukaryota, Bacteria and Archaea.

Wang C, Uversky VN, Kurgan L.

Proteomics. 2016 May;16(10):1486-98. doi: 10.1002/pmic.201500177. Epub 2016 Apr 27.

PMID:
27037624
5.

Compartmentalization and Functionality of Nuclear Disorder: Intrinsic Disorder and Protein-Protein Interactions in Intra-Nuclear Compartments.

Meng F, Na I, Kurgan L, Uversky VN.

Int J Mol Sci. 2015 Dec 25;17(1). pii: E24. doi: 10.3390/ijms17010024.

6.

Molecular recognition features (MoRFs) in three domains of life.

Yan J, Dunker AK, Uversky VN, Kurgan L.

Mol Biosyst. 2016 Mar;12(3):697-710. doi: 10.1039/c5mb00640f.

PMID:
26651072
7.

PDID: database of molecular-level putative protein-drug interactions in the structural human proteome.

Wang C, Hu G, Wang K, Brylinski M, Xie L, Kurgan L.

Bioinformatics. 2016 Feb 15;32(4):579-86. doi: 10.1093/bioinformatics/btv597. Epub 2015 Oct 26.

PMID:
26504143
8.

Genome-wide analysis of thapsigargin-induced microRNAs and their targets in NIH3T3 cells.

Groenendyk J, Fan X, Peng Z, Ilnytskyy Y, Kurgan L, Michalak M.

Genom Data. 2014 Oct 7;2:325-7. doi: 10.1016/j.gdata.2014.10.002. eCollection 2014 Dec.

9.

In various protein complexes, disordered protomers have large per-residue surface areas and area of protein-, DNA- and RNA-binding interfaces.

Wu Z, Hu G, Yang J, Peng Z, Uversky VN, Kurgan L.

FEBS Lett. 2015 Sep 14;589(19 Pt A):2561-9. doi: 10.1016/j.febslet.2015.08.014. Epub 2015 Aug 20.

PMID:
26297830
10.

Untapped Potential of Disordered Proteins in Current Druggable Human Proteome.

Hu G, Wu Z, Wang K, Uversky VN, Kurgan L.

Curr Drug Targets. 2016;17(10):1198-205. Review.

PMID:
26201486
11.

High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder.

Peng Z, Kurgan L.

Nucleic Acids Res. 2015 Oct 15;43(18):e121. doi: 10.1093/nar/gkv585. Epub 2015 Jun 24.

12.

Unstructural biology of the Dengue virus proteins.

Meng F, Badierah RA, Almehdar HA, Redwan EM, Kurgan L, Uversky VN.

FEBS J. 2015 Sep;282(17):3368-94. doi: 10.1111/febs.13349. Epub 2015 Jul 15.

PMID:
26096987
13.

A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues.

Yan J, Friedrich S, Kurgan L.

Brief Bioinform. 2016 Jan;17(1):88-105. doi: 10.1093/bib/bbv023. Epub 2015 May 1.

PMID:
25935161
14.

Systematic investigation of sequence and structural motifs that recognize ATP.

Chen K, Wang D, Kurgan L.

Comput Biol Chem. 2015 Jun;56:131-41. doi: 10.1016/j.compbiolchem.2015.04.008. Epub 2015 Apr 20.

PMID:
25935117
15.

Correction to disordered proteinaceous machines.

Fuxreiter M, Tóth-Petróczy Á, Kraut DA, Matouschek A, Lim RY, Xue B, Kurgan L, Uversky VN.

Chem Rev. 2015 Apr 8;115(7):2780. doi: 10.1021/acs.chemrev.5b00150. Epub 2015 Mar 26. No abstract available.

16.

Comprehensive overview and assessment of computational prediction of microRNA targets in animals.

Fan X, Kurgan L.

Brief Bioinform. 2015 Sep;16(5):780-94. doi: 10.1093/bib/bbu044. Epub 2014 Dec 2. Review.

PMID:
25471818
17.

Covering complete proteomes with X-ray structures: a current snapshot.

Mizianty MJ, Fan X, Yan J, Chalmers E, Woloschuk C, Joachimiak A, Kurgan L.

Acta Crystallogr D Biol Crystallogr. 2014 Nov;70(Pt 11):2781-93. doi: 10.1107/S1399004714019427. Epub 2014 Oct 23.

18.

Human structural proteome-wide characterization of Cyclosporine A targets.

Hu G, Wang K, Groenendyk J, Barakat K, Mizianty MJ, Ruan J, Michalak M, Kurgan L.

Bioinformatics. 2014 Dec 15;30(24):3561-6. doi: 10.1093/bioinformatics/btu581. Epub 2014 Aug 28.

19.

Improved prediction of residue flexibility by embedding optimized amino acid grouping into RSA-based linear models.

Zhang H, Kurgan L.

Amino Acids. 2014 Dec;46(12):2665-80. doi: 10.1007/s00726-014-1817-9. Epub 2014 Aug 9.

PMID:
25106508
20.

Computational prediction of B cell epitopes from antigen sequences.

Gao J, Kurgan L.

Methods Mol Biol. 2014;1184:197-215. doi: 10.1007/978-1-4939-1115-8_11.

PMID:
25048126
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