AI Medical Compendium Journal:
Journal of bioinformatics and computational biology

Showing 21 to 30 of 73 articles

Invariant transformers of Robinson and Foulds distance matrices for Convolutional Neural Network.

Journal of bioinformatics and computational biology
The evolutionary histories of genes are susceptible of differing greatly from each other which could be explained by evolutionary variations in horizontal gene transfers or biological recombinations. A phylogenetic tree would therefore represent the ...

Prediction of nucleosome dynamic interval based on long-short-term memory network (LSTM).

Journal of bioinformatics and computational biology
Nucleosome localization is a dynamic process and consists of nucleosome dynamic intervals (NDIs). We preprocessed nucleosome sequence data as time series data (TSD) and developed a long short-term memory network (LSTM) model for training time series ...

DeepBtoD: Improved RNA-binding proteins prediction via integrated deep learning.

Journal of bioinformatics and computational biology
RNA-binding proteins (RBPs) have crucial roles in various cellular processes such as alternative splicing and gene regulation. Therefore, the analysis and identification of RBPs is an essential issue. However, although many computational methods have...

A sequence-based two-layer predictor for identifying enhancers and their strength through enhanced feature extraction.

Journal of bioinformatics and computational biology
Enhancers are short regulatory DNA fragments that are bound with proteins called activators. They are free-bound and distant elements, which play a vital role in controlling gene expression. It is challenging to identify enhancers and their strength ...

DNN-Boost: Somatic mutation identification of tumor-only whole-exome sequencing data using deep neural network and XGBoost.

Journal of bioinformatics and computational biology
Detection of somatic mutation in whole-exome sequencing data can help elucidate the mechanism of tumor progression. Most computational approaches require exome sequencing for both tumor and normal samples. However, it is more common to sequence exome...

O-glycosylation site prediction for by combining properties and sequence features with support vector machine.

Journal of bioinformatics and computational biology
O-glycosylation is a protein posttranslational modification important in regulating almost all cells. It is related to a large number of physiological and pathological phenomena. Recognizing O-glycosylation sites is the key to further investigating t...

Amino acid environment affinity model based on graph attention network.

Journal of bioinformatics and computational biology
Proteins are engines involved in almost all functions of life. They have specific spatial structures formed by twisting and folding of one or more polypeptide chains composed of amino acids. Protein sites are protein structure microenvironments that ...

Support vector machine-based prediction of pore-forming toxins (PFT) using distributed representation of reduced alphabets.

Journal of bioinformatics and computational biology
Bacterial virulence can be attributed to a wide variety of factors including toxins that harm the host. Pore-forming toxins are one class of toxins that confer virulence to the bacteria and are one of the promising targets for therapeutic interventio...

Mining of structural motifs in proteins using artificial bee colony optimization framework for druggability.

Journal of bioinformatics and computational biology
In this work, we have developed an optimization framework for digging out common structural patterns inherent in DNA binding proteins. A novel variant of the artificial bee colony optimization algorithm is proposed to improve the exploitation process...

HemoNet: Predicting hemolytic activity of peptides with integrated feature learning.

Journal of bioinformatics and computational biology
Quantifying the hemolytic activity of peptides is a crucial step in the discovery of novel therapeutic peptides. Computational methods are attractive in this domain due to their ability to guide wet-lab experimental discovery or screening of peptides...