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In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.
This issue includes articles that discuss the development of long-term 3D tissue cultures from human biopsy samples, the application of flow cytometry in drug discovery and automation for upstream processing in a biologics manufacturing environment. Also included are features on informatics, proteomics and CRISPR.
GlaxoSmithKline (GSK) and the University of Oxford will collaborate to investigate diseases using technologies such as functional genomics and machine learning.
Scientists identify a drug candidate to minimise erratic muscle movements, called dyskinesia, associated with Parkinson’s disease.
Transformational machine learning (TML) learns from multiple problems and improves performance while it learns, potentially accelerating drug discovery.
The funding will accelerate clinical development of cell therapies using breakthrough gene engineering technology opti-oxTM.
Scientists discover a long noncoding RNA, termed NXTAR, and a small molecule drug that could be used to treat prostate cancer.
A new computer-aided tool maps allosteric sites in G protein-coupled receptors to search for allosteric drugs to treat a range of diseases.
Researchers have shown that a new microneedle vaccine patch was 10 times stronger at generating an immune response in animals than a subcutaneous injection.
A new antiviral has shown promise against the dengue virus in mice and has the potential to be used as a preventative measure.
A $5 million grant will be used to train students in stem cell research to contribute towards new stem cell-based therapeutics.
View Drug Target Review's new infographic on the use of AI and informatics within early therapeutic development here.
Researchers have used CRISPR and cryogenic electron microscopy to unravel the workings of two receptors involved in diseases such as cancer and COVID-19.
Sanofi has completed the acquisition of mRNA therapeutics company Translate Bio for a total of approximately $3.2 billion.
Sheraz Gul explores how machine learning and artificial intelligence represent an exciting opportunity for the drug discovery industry, with the potential to develop highly optimised small molecules.
CRISPR libraries can be highly useful for target identification, gene screens and drug discovery. Dr Erik Willems, Senior Manager of Cell Biology at Thermo Fisher Scientific, discusses the company’s CRISPR libraries and the advantages they can offer scientists.
