AIMC Topic: DEAD-box RNA Helicases

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Enhancing HCV NS3 Inhibitor Classification with Optimized Molecular Fingerprints Using Random Forest.

International journal of molecular sciences Mar 17, 2025
The classification of Hepatitis C virus (HCV) NS3 inhibitors is essential for identifying potential antiviral agents through computational methods. This study aims to develop an optimized machine learning (ML) model using random forest (RF) and molec...
Humans Machine Learning Drug Discovery Antiviral Agents Random Forest Hepacivirus Serine Endopeptidases Viral Nonstructural Proteins Protease Inhibitors DEAD-box RNA Helicases Viral Proteases Nucleoside-Triphosphatase
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LBSizeCleav: improved support vector machine (SVM)-based prediction of Dicer cleavage sites using loop/bulge length.

BMC bioinformatics Nov 25, 2016
BACKGROUND: Dicer is necessary for the process of mature microRNA (miRNA) formation because the Dicer enzyme cleaves pre-miRNA correctly to generate miRNA with correct seed regions. Nonetheless, the mechanism underlying the selection of a Dicer cleav...
Humans Software Algorithms Support Vector Machine MicroRNAs Bayes Theorem Base Sequence Nucleic Acid Conformation RNA Precursors DEAD-box RNA Helicases Ribonuclease III
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