Novel algorithm uses mass spec data to predict identity of molecules
A new algorithm called MolDiscovery uses mass spectrometry data from molecules to predict their identity and whether they are unknown substances.
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In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.
A new algorithm called MolDiscovery uses mass spectrometry data from molecules to predict their identity and whether they are unknown substances.
A small molecule found in a cell-based ultra-high-throughput screening campaign was shown to treat diabetes in cells and mice.
The application of chemical perturbation approaches in phenotypic models is often used to identify protein targets for therapeutic discovery. Increasingly, small molecule fragments which covalently bind to their protein targets are being used to explore the druggable proteome and the resulting fragment‑protein interactions are characterised by chemoproteomic techniques. In this…
A new promising sarcoma target, phosphodiesterase 3A (PDE3A), and drugs targeting it have been identified by researchers at the University of Helsinki. Dr Katja Ivanitskiy, Dr Harri Sihto and Professor Olli Kallioniemi outline emerging evidence that indicates PDE3A protein-targeting compounds may induce sarcoma cell death by acting as a molecular…
With the COVID-19 pandemic ongoing, new therapeutic drugs to combat SARS-CoV-2 are still required. In this article, Professor Arvind Patel from the Medical Research Council (MRC) – Centre for Virus Research (CVR) at the University of Glasgow spoke with Drug Target Review’s Victoria Rees to discuss the work being done…
In this article, Drug Target Review’s Victoria Rees explores a new screening platform that assesses the biological activity of molecules to identify potential drugs. Using their new technique, researchers from the US National Institutes of Health (NIH) identified potential COVID-19 therapeutics.
A major challenge during high-throughput and fragment screening is the potential for identifying ‘frequent hitters’ – compounds that affect unrelated targets. Matthew Lloyd from the University of Bath explains why these hits can arise during drug discovery and how machine learning could be the answer to identifying these compounds.
While researchers conduct their studies, constraints such as time can impact their work. Dr Ian Holland from the University of Edinburgh spoke with Drug Target Review’s Deputy Editor Victoria Rees to explain how lab automation can offer a solution to these challenges and enhance output for scientists.
With over 20 years’ of expertise in phage display, IRBM applies its extensive peptide and antibody libraries to discover lead therapeutic candidates. Dr Licia Tomei, Director of Display Technologies, IRBM, discusses the company’s phage display capabilities and how they accelerate the drug discovery process.
Researchers have screened bacteria in the gut, finding that Bifidobacteria have inhibitory activity against SARS-CoV-2.
Researchers have developed a native state mass spectrometry technique to identify inhibitors of the bacterial protein metallo-beta-lactamase.
A National Science and Technology Council and Office for Science and Technology Strategy will be established to aid the UK's scientific industry.
This ebook has articles on the use of screening to identify COVID-19 drugs and how assessing compound activity could accelerate drug discovery.
A new radiopharmaceutical compound has shown success at treating ovarian cancer in mice and in vitro studies.
Drug molecules from pine and spruce trees can affect certain ion channels and had antiseizure effects in pre-clinical studies.