Targeted therapy for treatment-resistant breast cancer
US researchers have uncovered a potential target for treating breast cancer that is resistant to endocrine therapies because of a specific gene mutation.
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US researchers have uncovered a potential target for treating breast cancer that is resistant to endocrine therapies because of a specific gene mutation.
Oestrogen receptors play a crucial role in breast cancer. By making them therapeutic targets, oestrogen can be regulated with the aim to prevent breast cancer.
US researchers uncover the amino acid: arginine, that prompts genetic mutations in cancer cells.
New insights into lung squamous cell carcinoma (LSCC) have emerged from a proteogenomic study, leading to the identification of potential drug targets.
A research team has discovered how proteins called pioneer transcription factors turn on vital genes in cells.
Professor Laurence D Hurst explains why understanding the nucleotide mutations in viruses, including SARS-CoV-2, can have significant implications for vaccine design.
The first comprehensive survey of genomics, transcriptomics, global proteomics and phosphoproteomics has revealed insights into paediatric brain tumours.
A team has identified 219 molecules and genes that influence the severity of COVID-19 in patients, providing information that could aid the development of therapeutics.
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…
Researchers discovered the monoclonal antibodies of a convalescent Marburg infection patient bound to the glycoprotein and combatted infection in two novel ways.
A new study has developed a deep learning approach that analyses protein interactions, which could improve the design of drugs in the future.
A new technique called ‘ubiquitin clipping’ has been created which could aid proteomics research and the development of new drugs for ubiquitination.
A machine-learning model has been developed to analyse protein sequences, giving an insight to their structure, function and phylogeny...
The catastrophic consequences of ever-increasing rates of death from infectious diseases demands new experimental strategies for drug target selection and drug design. Over the last decade, the pharmaceutical industry has been wounded by several issues including failure of drug-development programmes, burgeoning cost of drug development, increasing regulatory control, lack of…