Machine-learning algorithm developed to aid in epigenetic drug discovery
A machine-learning algorithm has been created that automates high-throughput screens of epigenetic medicines.
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A machine-learning algorithm has been created that automates high-throughput screens of epigenetic medicines.
A drug discovery platform for mental health treatment could also help to identify mechanisms for the treatment of substance use disorders.
Researchers have developed CRISPR-Cas13 enzyme-based technology that can be programmed to both detect and destroy RNA-based viruses in human cells.
Researchers have created an AI model that analyses the citations of studies, predicting their potential for eventual clinical application.
New protein-painting technology could lead to developing cancer immunotherapy medicines that can be administered as a pill.
A new study has shown that it is possible to specifically conduct the fate of tissue cells by using visible light.
Researchers have used whole genome sequencing to analyse breast cancers and reveal which are more responsive to treatments, which could improve the development of oncologic therapies.
A new platform brings together genome editing with magnetic cell sorting to reveal new drug targets for cancer and regenerative medicine.
A new platform combines AI, flow chemistry and robotics to minimise the need for human intervention in the synthesis process.
The memory of mice with Alzheimer's greatly improved after they were injected with two newly discovered short peptides.
Upstream bioprocessing is the epicentre of biologics development, wherein scientists piece together a series of carefully chosen processes with contributing components and parameters to enable the production of highly effective biotherapeutics. Unjulie Bhanot explains why an effective data management system is vital in this quest for the next big therapeutic.
Marc Baiget-Francesch highlights interesting developments in the field of protein drug design and explains how continual software improvements are speeding up the process.
Pharmaceutical companies are under increasing pressure to get novel drugs to market as quickly as possible. Here, Sheraz Gul discusses how integrating processes could help streamline drug discovery in the future.
As technology advances and scientific research progresses at a rapid pace, data is being generated in ever-larger quantities. Even with the forward strides in technology and advances in data processing, a common problem widely acknowledged by the scientific community is that of reproducibility. In this article, Matjaz Hren discusses the…
GeneArt High-Q Strings DNA Fragments versus other suppliers’ products.