Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 117

1.

Quantifying sequence and structural features of protein-RNA interactions.

Li S, Yamashita K, Amada KM, Standley DM.

Nucleic Acids Res. 2014 Sep;42(15):10086-98. doi: 10.1093/nar/gku681. Epub 2014 Jul 25.

2.

Analysis and prediction of RNA-binding residues using sequence, evolutionary conservation, and predicted secondary structure and solvent accessibility.

Zhang T, Zhang H, Chen K, Ruan J, Shen S, Kurgan L.

Curr Protein Pept Sci. 2010 Nov;11(7):609-28.

PMID:
20887256
3.

Prediction of protein-RNA binding sites by a random forest method with combined features.

Liu ZP, Wu LY, Wang Y, Zhang XS, Chen L.

Bioinformatics. 2010 Jul 1;26(13):1616-22. doi: 10.1093/bioinformatics/btq253. Epub 2010 May 18.

PMID:
20483814
4.

Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.

Walia RR, Caragea C, Lewis BA, Towfic F, Terribilini M, El-Manzalawy Y, Dobbs D, Honavar V.

BMC Bioinformatics. 2012 May 10;13:89. doi: 10.1186/1471-2105-13-89.

5.

Prediction of RNA-binding residues in proteins from primary sequence using an enriched random forest model with a novel hybrid feature.

Ma X, Guo J, Wu J, Liu H, Yu J, Xie J, Sun X.

Proteins. 2011 Apr;79(4):1230-9. doi: 10.1002/prot.22958. Epub 2011 Jan 25.

PMID:
21268114
6.

Prediction of RNA-binding amino acids from protein and RNA sequences.

Choi S, Han K.

BMC Bioinformatics. 2011;12 Suppl 13:S7. doi: 10.1186/1471-2105-12-S13-S7. Epub 2011 Nov 30.

7.

Struct-NB: predicting protein-RNA binding sites using structural features.

Towfic F, Caragea C, Gemperline DC, Dobbs D, Honavar V.

Int J Data Min Bioinform. 2010;4(1):21-43.

8.

Exploiting structural and topological information to improve prediction of RNA-protein binding sites.

Maetschke SR, Yuan Z.

BMC Bioinformatics. 2009 Oct 18;10:341. doi: 10.1186/1471-2105-10-341.

9.

Identifying RNA-binding residues based on evolutionary conserved structural and energetic features.

Chen YC, Sargsyan K, Wright JD, Huang YS, Lim C.

Nucleic Acids Res. 2014 Feb;42(3):e15. doi: 10.1093/nar/gkt1299. Epub 2013 Dec 16.

10.

Improve the prediction of RNA-binding residues using structural neighbours.

Li Q, Cao Z, Liu H.

Protein Pept Lett. 2010 Mar;17(3):287-96.

PMID:
19508202
11.

Predicting RNA-binding residues from evolutionary information and sequence conservation.

Huang YF, Chiu LY, Huang CC, Huang CK.

BMC Genomics. 2010 Dec 2;11 Suppl 4:S2. doi: 10.1186/1471-2164-11-S4-S2.

12.
13.

Structural protein descriptors in 1-dimension and their sequence-based predictions.

Kurgan L, Disfani FM.

Curr Protein Pept Sci. 2011 Sep;12(6):470-89. Review.

PMID:
21787299
14.

Analysis and prediction of DNA-binding proteins and their binding residues based on composition, sequence and structural information.

Ahmad S, Gromiha MM, Sarai A.

Bioinformatics. 2004 Mar 1;20(4):477-86. Epub 2004 Jan 22.

PMID:
14990443
15.

PRBP: Prediction of RNA-Binding Proteins Using a Random Forest Algorithm Combined with an RNA-Binding Residue Predictor.

Ma X, Guo J, Xiao K, Sun X.

IEEE/ACM Trans Comput Biol Bioinform. 2015 Nov-Dec;12(6):1385-93. doi: 10.1109/TCBB.2015.2418773.

PMID:
26671809
16.

Prediction of nucleic acid binding probability in proteins: a neighboring residue network based score.

Miao Z, Westhof E.

Nucleic Acids Res. 2015 Jun 23;43(11):5340-51. doi: 10.1093/nar/gkv446. Epub 2015 May 4.

17.

BindN: a web-based tool for efficient prediction of DNA and RNA binding sites in amino acid sequences.

Wang L, Brown SJ.

Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W243-8.

18.

RNA-binding residues prediction using structural features.

Ren H, Shen Y.

BMC Bioinformatics. 2015 Aug 9;16:249. doi: 10.1186/s12859-015-0691-0.

19.

Prediction of mono- and di-nucleotide-specific DNA-binding sites in proteins using neural networks.

Andrabi M, Mizuguchi K, Sarai A, Ahmad S.

BMC Struct Biol. 2009 May 13;9:30. doi: 10.1186/1472-6807-9-30.

20.

RBRDetector: improved prediction of binding residues on RNA-binding protein structures using complementary feature- and template-based strategies.

Yang XX, Deng ZL, Liu R.

Proteins. 2014 Oct;82(10):2455-71. doi: 10.1002/prot.24610. Epub 2014 Jun 9.

PMID:
24854765

Supplemental Content

Support Center