AIMC Topic: Conserved Sequence
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Conservation region finding for influenza A viruses by machine learning methods of N-linked glycosylation sites and B-cell epitopes.
Mathematical biosciences
Jun 17, 2019
Influenza type A, a serious infectious disease of the human respiratory tract, poses an enormous threat to human health worldwide. It leads to high mortality rates in poultry, pigs, and humans. The primary target identity regions for the human immune...
Identifying mouse developmental essential genes using machine learning.
Disease models & mechanisms
Dec 13, 2018
The genes that are required for organismal survival are annotated as 'essential genes'. Identifying all the essential genes of an animal species can reveal critical functions that are needed during the development of the organism. To inform studies o...
A machine learning based framework to identify and classify long terminal repeat retrotransposons.
PLoS computational biology
Apr 23, 2018
Transposable elements (TEs) are repetitive nucleotide sequences that make up a large portion of eukaryotic genomes. They can move and duplicate within a genome, increasing genome size and contributing to genetic diversity within and across species. A...
ApoplastP: prediction of effectors and plant proteins in the apoplast using machine learning.
The New phytologist
Dec 15, 2017
The plant apoplast is integral to intercellular signalling, transport and plant-pathogen interactions. Plant pathogens deliver effectors both into the apoplast and inside host cells, but no computational method currently exists to discriminate betwee...
NBSPred: a support vector machine-based high-throughput pipeline for plant resistance protein NBSLRR prediction.
Bioinformatics (Oxford, England)
Dec 9, 2015
UNLABELLED: The nucleotide binding site leucine-rich repeats (NBSLRRs) belong to one of the largest known families of disease resistance genes that encode resistance proteins (R-protein) against the pathogens of plants. Various defence mechanisms hav...
XGSA: A statistical method for cross-species gene set analysis.
Bioinformatics (Oxford, England)
Sep 1, 2016
MOTIVATION: Gene set analysis is a powerful tool for determining whether an experimentally derived set of genes is statistically significantly enriched for genes in other pre-defined gene sets, such as known pathways, gene ontology terms, or other ex...
The drug target genes show higher evolutionary conservation than non-target genes.
Oncotarget
Jan 26, 2016
Although evidence indicates that drug target genes share some common evolutionary features, there have been few studies analyzing evolutionary features of drug targets from an overall level. Therefore, we conducted an analysis which aimed to investig...
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