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Stem cells used to identify potential treatments for Parkinson’s disease
Scientists have found two active substances that allowed cells to reactivate the production of a protein that prevents the onset of Parkinson's disease.
news
Tool to track SARS-CoV-2 mutations could inform drug development
A new tool called COVID-3D that monitors SARS-CoV-2 genome mutations could aid drug and vaccine development, its creators say.
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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.
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Drug Target Review – Issue 3 2020
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…
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AI holds promise to accelerate drug repurposing for COVID-19
According to a new report, artificial intelligence (AI) is vital for the rapid identification of drugs that can be repurposed to combat COVID-19.
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Researchers identify over 550 cancer-driving genes
Computational analysis has been used by researchers to examine 66 types of cancer and identify 568 genes that drive tumour development.
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Researchers identify protein that may help SARS-CoV-2 spread through cells
Researchers have found that the SARS-CoV-2 nucleocapsid protein may help the virus to spread from cell to cell, providing a drug target.
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Machine learning reveals potential COVID-19 therapeutic compounds
A drug screen using machine learning has identified hundreds of potential drugs that could be used to treat COVID-19, researchers say.
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Translating novel drug success in animals to humans
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.
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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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New insights into human and mouse genomes published in NIH study
The third phase of the ENCODE project has been released, with new information on genes and their potential regulators in their respective genomes.
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Team suggest bradykinin system could be targeted by COVID-19 drugs
Researchers say computational analyses suggest the bradykinin system may explain some of the symptoms of COVID-19, providing a drug target.
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Technique to visualise hundreds of genomes simultaneously developed
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.
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Imaging and machine learning system created to discover tuberculosis drugs
Researchers have developed MorphEUS, a technology to identify new drugs that combat M. tuberculosis by revealing how compounds destroy the bacteria.
