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How one carbon atom is changing drug development
Researchers at the University of Oklahoma have found a way to improve drugs by adding just one carbon atom. This simple change could speed up drug discovery and lower costs.
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Medicinal Chemistry
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Shifting the ADC focus from antibody to payload
While ADCs continue to attract attention in oncology, many developers remain focused on antibodies – overlooking the critical role of payload design. At Sygnature Discovery, Dr Joshua Greally is leading a shift in perspective, advocating for a payload-first approach through the company’s new platform, NewPath ADC. In this interview, he…
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Breakthrough trial offers new hope for cystic fibrosis patients
A promising new inhaled therapy is progressing in Phase 2 trials, presenting new opportunities for improving cystic fibrosis treatment.
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Developing the next generation of antibody drug conjugates
In this Q&A, Léo Marx, Medicinal Chemistry Project Manager at Debiopharm, details how the therapeutic window of ADCs can be impacted, how we can overcome the challenges associated with achieving site-specific bioconjugation, and other essential considerations for optimising ADC performance.
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Mushroom growth method could help develop antivirals and cancer drugs
Although Cordyceps mushrooms are challenging to cultivate, researchers have shown that they can be grown on edible insects to exploit their strong therapeutic potential.
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Cell painting approach used to identify drug compounds with unwanted side effects
Novel research has shown that morphological fingerprinting could help identify side effects of new bioactive compounds in drug discovery.
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Possible new class of compounds to treat diabetes identified
A recent pre-clinical study from Washington University School of Medicine showed that a new class of compounds can potentially improve multiple aspects of metabolic syndrome, including diabetes.
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Virtual method enables screening of billions of chemical compounds
A new platform, named Virtual Synthon Hierarchical Enumeration Screening, has been developed by researchers to efficiently discover drugs.
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Transformational machine learning approach could accelerate drug design
In this Q&A, Professor Ross King from the University of Cambridge, UK, discusses how a new machine learning approach could aid drug discovery and development. The method learns from multiple problems and improves performance while it learns.
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Team identifies lead compound to potentially treat schistosomiasis
Researchers have found a quinoxaline-core containing, non-genotoxic lead compound that could treat schistosomiasis following optimisation.
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Human iPSC-derived cardiomyocytes for cardiac proarrhythmic risk assessment
Following Drug Target Review's webinar supported by Eurofins, speaker Dr Verena Albert answers the questions posed by the audience during the live event.
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Sample preparation automation in label-free compound profiling
Following the latest Drug Target Review webinar, supported by Analytik Jena, we put the audience’s questions to the speakers to understand how hardware, software and labware challenges can be successfully overcome.
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Bioactivity information of one million molecules compiled
Using deep machine learning, researchers have completed the activity profiles, from chemistry to clinical level, for one million molecules.
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Millennia in the making: unlocking the medicinal value of CBD
Dr Sotirios Karathanasis discusses the history of cannabis as a treatment and delves into the process of turning plant-based medicines into clinically proven drugs.
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Automated method to produce synthetic DNA created
Researchers have developed a technique to synthetically produce DNA oligonucleotides that avoids the degradation of phosphoramidites.
