Development of a new oligonucleotide block location-based feature extraction (BLBFE) method for the classification of riboswitches-Reference-Cited by-同舟云学术

Development of a new oligonucleotide block location-based feature extraction (BLBFE) method for the classification of riboswitches

Published:2020-01-04 Issue:2 Volume:295 Page:525-534
ISSN:1617-4615
Container-title:Molecular Genetics and Genomics
language:en
Short-container-title:Mol Genet Genomics

Author:

Golabi F.,Shamsi Mousa,Sedaaghi M. H.,Barzegar A.,Hejazi Mohammad Saeid^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Molecular Biology,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s00438-019-01642-z.pdf

Reference58 articles.

1. Aghdam EM, Barzegar A, Hejazi MS (2014a) Evolutionary origin and conserved structural building blocks of riboswitches and ribosomal RNAs: riboswitches as probable target sites for aminoglycosides interaction. Adv Pharm Bull 4:225

2. Aghdam EM, Hejazi ME, Hejazi MS, Barzegar A (2014b) Riboswitches as potential targets for aminoglycosides compared with rRNA molecules: in silico study. J Microb Biochem Technol 6:1–9

3. Arlot S, Celisse A (2010) A survey of cross-validation procedures for model selection. Stat Surv 4:40–79

4. Baird NJ, Inglese J, Ferre-D’Amare AR (2015) Rapid RNA-ligand interaction analysis through high-information content conformational and stability landscapes. Nat Commun 6:8898

5. Barrick JE, Breaker RR (2007) The distributions, mechanisms, and structures of metabolite-binding riboswitches. Genome Biol 8:R239

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