AI Medical Compendium Journal:
Journal of bioinformatics and computational biology

Showing 51 to 60 of 73 articles

Quality assurance of the gene ontology using abstraction networks.

Journal of bioinformatics and computational biology
The gene ontology (GO) is used extensively in the field of genomics. Like other large and complex ontologies, quality assurance (QA) efforts for GO's content can be laborious and time consuming. Abstraction networks (AbNs) are summarization networks ...

Accurate refinement of docked protein complexes using evolutionary information and deep learning.

Journal of bioinformatics and computational biology
One of the major challenges for protein docking methods is to accurately discriminate native-like structures from false positives. Docking methods are often inaccurate and the results have to be refined and re-ranked to obtain native-like complexes a...

OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features.

Journal of bioinformatics and computational biology
MicroRNAs (miRNAs) are a set of short (21-24 nt) non-coding RNAs that play significant regulatory roles in the cells. Triplet-SVM-classifier and MiPred (random forest, RF) can identify the real pre-miRNAs from other hairpin sequences with similar ste...

A method to predict different mechanisms for blood-brain barrier permeability of CNS activity compounds in Chinese herbs using support vector machine.

Journal of bioinformatics and computational biology
The blood-brain barrier (BBB), a highly selective barrier between central nervous system (CNS) and the blood stream, restricts and regulates the penetration of compounds from the blood into the brain. Drugs that affect the CNS interact with the BBB p...

Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction.

Journal of bioinformatics and computational biology
Automated assignment of protein function has received considerable attention in recent years for genome-wide study. With the rapid accumulation of genome sequencing data produced by high-throughput experimental techniques, the process of manually pre...

SAMSVM: A tool for misalignment filtration of SAM-format sequences with support vector machine.

Journal of bioinformatics and computational biology
Sequence alignment/map (SAM) formatted sequences [Li H, Handsaker B, Wysoker A et al., Bioinformatics 25(16):2078-2079, 2009.] have taken on a main role in bioinformatics since the development of massive parallel sequencing. However, because misalign...

Computationally predicting protein-RNA interactions using only positive and unlabeled examples.

Journal of bioinformatics and computational biology
Protein-RNA interactions (PRIs) are considerably important in a wide variety of cellular processes, ranging from transcriptional and post-transcriptional regulations of gene expression to the active defense of host against virus. With the development...

Embedding assisted prediction architecture for event trigger identification.

Journal of bioinformatics and computational biology
Molecular events normally have significant meanings since they describe important biological interactions or alternations such as binding of a protein. As a crucial step of biological event extraction, event trigger identification has attracted much ...

Integration of autoencoder and graph convolutional network for predicting breast cancer drug response.

Journal of bioinformatics and computational biology
Breast cancer is the most prevalent type of cancer among women. The effectiveness of anticancer pharmacological therapy may get adversely affected by tumor heterogeneity that includes genetic and transcriptomic features. This leads to clinical varia...

Learning long- and short-term dependencies for improving drug-target binding affinity prediction using transformer and edge contraction pooling.

Journal of bioinformatics and computational biology
The accurate identification of drug-target affinity (DTA) is crucial for advancements in drug discovery and development. Many deep learning-based approaches have been devised to predict drug-target binding affinity accurately, exhibiting notable impr...