Article-Journal

Evaluating the quality of SHAPE data simulated by k-mers for RNA structure prediction
Finding an effective measure to predict a more accurate RNA secondary structure is a challenging problem. In the last decade, an …
RNA design using simulated SHAPE data
Dimensionality Reduction of Binding Site Sequence Data on Human Genome Using a Deep Autoencoder Neural Network
The use of genomic nucleotide sequences as biochemical signals in machine learning methods is possible by converting these sequences …
Evolutionary algorithm for RNA secondary structure prediction based on simulated SHAPE data

Background

Non-coding RNAs perform a wide range of functions inside the living cells that are related to their structures. Several …

Evaluating the accuracy of protein design using native secondary sub-structures
WCOACH: Protein complex prediction in weighted PPI networks
Protein complexes are aggregates of protein molecules that play important roles in biological processes. Detecting protein complexes …
RNA secondary structure prediction based on SHAPE data in helix regions
Using temperature effects to predict the interactions between two RNAs
RNA-RNA interaction prediction using genetic algorithm
Transcription factor binding sites prediction based on modified nucleosomes