Genetic analysis reveals disease-causing protein drug targets
An analysis of blood protein levels has supported drug target prioritisation by identifying the causal effects of proteins on diseases, a team has shown.
List view / Grid view
An analysis of blood protein levels has supported drug target prioritisation by identifying the causal effects of proteins on diseases, a team has shown.
This issue includes articles that explore how a next-generation genomics platform can be used for COVID-19 research, the elimination of neutralising AAV antibodies for gene therapies and a new quick and cost-effective biomarker technology for cancer diagnostics. Also in this issue are features on antibody therapeutics for COVID-19 and targets…
According to a new report, artificial intelligence (AI) is vital for the rapid identification of drugs that can be repurposed to combat COVID-19.
Computational analysis has been used by researchers to examine 66 types of cancer and identify 568 genes that drive tumour development.
Researchers have found that the SARS-CoV-2 nucleocapsid protein may help the virus to spread from cell to cell, providing a drug target.
A drug screen using machine learning has identified hundreds of potential drugs that could be used to treat COVID-19, researchers say.
A team has developed a predictive tool called TransComp-R which could be used to reveal whether new drugs that have been effective in animals will have positive outcomes in humans.
A machine learning algorithm that predicts sites of DNA methylation could aid in the identification of disease-causing mechanisms, say researchers.
The third phase of the ENCODE project has been released, with new information on genes and their potential regulators in their respective genomes.
Researchers say computational analyses suggest the bradykinin system may explain some of the symptoms of COVID-19, providing a drug target.
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.
Researchers have developed MorphEUS, a technology to identify new drugs that combat M. tuberculosis by revealing how compounds destroy the bacteria.
Drug Target Review highlights five of the latest imaging advancements in the field of microscopy.
Researchers who developed a machine learning algorithm to predict the adverse effects of new drug compounds have released it as an open source tool.
The Brain Metastasis Cell Lines Panel compiles research from various international institutions on the numerous brain metastasis cell lines that have been developed, in hopes collaboration will expedite research and drug development.