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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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Informatics
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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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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 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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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.
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Five of the most recent microscopy developments
Drug Target Review highlights five of the latest imaging advancements in the field of microscopy.
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Drug side effects: an open source tool to predict adverse reactions
Researchers who developed a machine learning algorithm to predict the adverse effects of new drug compounds have released it as an open source tool.
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Researchers launch a collaborative brain metastases research platform
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.
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Robot researcher discovers new highly active catalyst
The autonomous robot scientist can independently perform experimental procedures and makes its own decisions about which tests to perform.
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From inception to conclusion: how digitalisation is impacting drug development
Phoebe Chubb explores how digitalisation is shaking up the world of drug discovery and development by increasing productivity and reducing human error.
