A machine learning algorithm that predicts sites of DNA methylation could aid in the identification of disease-causing mechanisms, say researchers.
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The third phase of the ENCODE project has been released, with new information on genes and their potential regulators in their respective genomes.
Researchers say computational analyses suggest the bradykinin system may explain some of the symptoms of COVID-19, providing a drug target.
A new technology named OligoFISSEQ has been created which can image and three-dimensionally map the genomes in hundreds of cells at the same time.
Researchers have developed MorphEUS, a technology to identify new drugs that combat M. tuberculosis by revealing how compounds destroy the bacteria.
Researchers who developed a machine learning algorithm to predict the adverse effects of new drug compounds have released it as an open source tool.
The Brain Metastasis Cell Lines Panel compiles research from various international institutions on the numerous brain metastasis cell lines that have been developed, in hopes collaboration will expedite research and drug development.
The autonomous robot scientist can independently perform experimental procedures and makes its own decisions about which tests to perform.
The genomic research platform will initially be used to help fast-track COVID-19 drug research and development, before being leveraged against other diseases, such as cancer.
Phoebe Chubb explores how digitalisation is shaking up the world of drug discovery and development by increasing productivity and reducing human error.
Software to help synthetic and medicinal chemists process and analyze all their spectral data in a single location.
Eliminate manual transcription, automate analytical data processing, and make decisions based on data directly linked with high throughput experiments.
Learn how method development software helped Janssen Pharmaceuticals reduce method development time by 80% with a 25-fold increase in method quality