Algorithm to predict sites of DNA methylation and drug targets developed
A machine learning algorithm that predicts sites of DNA methylation could aid in the identification of disease-causing mechanisms, say researchers.
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A machine learning algorithm that predicts sites of DNA methylation could aid in the identification of disease-causing mechanisms, say researchers.
Therapeutic oligonucleotides represent a recent breakthrough in the pharmaceutical industry.
Therapeutic oligonucleotides represent a recent breakthrough in the pharmaceutical industry. However, characterisation of oligos, specifically by ion-pair reversed phase liquid chromatography (IPRPLC), can be quite challenging.
Therapeutic oligonucleotides represent a recent breakthrough in the pharmaceutical industry.
Silencing RNA, or siRNA, are short, double-stranded RNA molecules which are not only an important research tool in molecular biology, but also an emerging therapeutic modality.
Superficially porous particle technologies provide a reduced diffusion path in comparison with their fully porous counterparts minimising the resistance to mass transfer during chromatographic separation.
The third phase of the ENCODE project has been released, with new information on genes and their potential regulators in their respective genomes.
A study has identified more than 200 genes that drive the progression of glioblastoma and which the researchers say present drug targets.
A new technology named OligoFISSEQ has been created which can image and three-dimensionally map the genomes in hundreds of cells at the same time.
Which immune cells contribute towards immune-induced neurodegeneration and how could this knowledge enable conditions such Alzheimer’s and multiple sclerosis to be treated?
1 July 2020 | By Phenomenex
In this on-demand webinar, we provide an overview of nucleic acid therapeutics and discuss the chromatographic challenges associated with oligonucleotides. We also explore modulation of the mobile phase additives alkylamine ion pair and perfluorinated alcohols. Finally, we will show how optimisation of mobile phase can improve not only chromatographic performance…
A study has revealed 68 protein-coding genes associated with risk of severe COVID-19, nine of which are targeted by drugs currently in clinical trials.
An artificial intelligence platform available online has been designed to help researchers track the genetics of SARS-CoV-2 as it moves from person to person.
Researchers recently conducted a genome-wide association study (GWAS) to identify factors that increase susceptibility to the incurable lung condition idiopathic pulmonary fibrosis (IPF). Here, Dr Richard Allen shares some of the study’s key findings.
After analysing the genomic diversity in SARS-CoV-2 by screening over 7,500 viruses from infected patients, researchers have offered clues for COVID-19 drug development.