Markovian negentropies in bioinformatics. 1. A picture of footprints after the interaction of the HIV-1 Ψ-RNA packaging region with drugs | Zendy

Humberto GonzálezDíaz | Zendy; Ronal Ramos de Armas | Zendy; Reinaldo Molina | Zendy

Open Access

Markovian negentropies in bioinformatics. 1. A picture of footprints after the interaction of the HIV-1 Ψ-RNA packaging region with drugs

Author(s) -

Humberto GonzálezDíaz,

Ronal Ramos de Armas,

Reinaldo Molina

Publication year - 2003

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg285

Subject(s) - rna , paromomycin , jackknife resampling , computational biology , markov chain , predictability , nucleotide , biological system , nucleic acid , biology , computer science , artificial intelligence , mathematics , genetics , statistics , machine learning , antibiotics , aminoglycoside , estimator , gene

Many experts worldwide have highlighted the potential of RNA molecules as drug targets for the chemotherapeutic treatment of a range of diseases. In particular, the molecular pockets of RNA in the HIV-1 packaging region have been postulated as promising sites for antiviral action. The discovery of simpler methods to accurately represent drug-RNA interactions could therefore become an interesting and rapid way to generate models that are complementary to docking-based systems.

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