‘Transformational’ machine learning method may speed up drug discovery
Transformational machine learning (TML) learns from multiple problems and improves performance while it learns, potentially accelerating drug discovery.
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Transformational machine learning (TML) learns from multiple problems and improves performance while it learns, potentially accelerating drug discovery.
The new study used cryo-electron microscopy to visualise the structure of a HAT protein and uncover compounds for drug development.
Biologics solutions from discovery to manufacturing.
A new high-resolution virtual microscopy technique enables the rapid visualisation of tissue, paving the way for histopathology analysis during surgery.
Scientists have used nuclear magnetic resonance (NMR) spectroscopy to investigate the protein p53, which they say could advance cancer studies.
Researchers used Raman spectroscopy to monitor immunotherapy response in mice, potentially improving cancer treatments in the future.
A new computer-aided tool maps allosteric sites in G protein-coupled receptors to search for allosteric drugs to treat a range of diseases.
The statistical method known as maximum entropy could improve cryogenic electron microscopy (cryo-EM) for more effective drug treatments.
An MIT study has used the first statistical model to finely characterise how ketamine anaesthesia affects the brain, possibly improving patient outcomes.
1 October 2021 | By Sartorius
Watch this roundtable of industry experts as they discuss technologies, best practices and strategies for delivering robust, stable, high-yielding cell lines to accelerate and streamline the drug discovery process.
Laboratories operating under GMP or GLP regulations must follow guidelines set by agencies to protect scientific integrity or demonstrate quality assurance of manufactured products.
The new features in Clampex 11 software enhance functionality in Protocol Editor, increasing the user's ability to create complex experimental protocols involving many command stimulations.
Researchers have created a tool that allows glycomics datasets to be analysed using artificial intelligence for early cancer diagnoses.
Researchers have developed an inexpensive method for visualising blood flow in the brain that can discern the motions of individual blood cells.
Evaluation of neurotoxicity effects is an active area of investigation in drug discovery and disease modeling.