news
Imaging and machine learning system created to discover tuberculosis drugs
Researchers have developed MorphEUS, a technology to identify new drugs that combat M. tuberculosis by revealing how compounds destroy the bacteria.
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Informatics
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Five of the most recent microscopy developments
Drug Target Review highlights five of the latest imaging advancements in the field of microscopy.
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Drug side effects: an open source tool to predict adverse reactions
Researchers who developed a machine learning algorithm to predict the adverse effects of new drug compounds have released it as an open source tool.
news
Researchers launch a collaborative brain metastases research platform
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.
news
Robot researcher discovers new highly active catalyst
The autonomous robot scientist can independently perform experimental procedures and makes its own decisions about which tests to perform.
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From inception to conclusion: how digitalisation is impacting drug development
Phoebe Chubb explores how digitalisation is shaking up the world of drug discovery and development by increasing productivity and reducing human error.
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On-demand webinar: How to be a spectral superstar – NMR & MS analysis made easy
Software to help synthetic and medicinal chemists process and analyse all their spectral data in a single location.
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On-demand webinar: Practical considerations for improving high throughput synthesis
Eliminate manual transcription, automate analytical data processing, and make decisions based on data directly linked with high throughput experiments.
whitepaper
Case study: Takeda streamline analytical handling
Read how Takeda simplified analytical data processing for their Process and Medicinal chemists by consolidating to a single piece of software.
whitepaper
Case study: Better, faster method development at Janssen
Learn how method development software helped Janssen Pharmaceuticals reduce method development time by 80% with a 25-fold increase in method quality
whitepaper
Application note: Tracking the fate and purge of impurities
Track the emergence and fate of impurities throughout drug development, attach all the relevant analytical data, and store searchable knowledge.
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Unlocking the power of machine learning for small molecule drug discovery
Rick Wagner of ZebiAI and Patrick Riley of Google Accelerated Science (GAS) discuss the development and benefits of a new machine learning drug discovery platform.
news
Open source all-atom model of entire COVID-19 S protein released
Researchers have developed a video and model-building programme for other scientists to build full-length COVID-19 S protein models.
news
Online tool allows researchers to track genetic structure of SARS-CoV-2
An artificial intelligence platform available online has been designed to help researchers track the genetics of SARS-CoV-2 as it moves from person to person.
news
Free to view detailed 3D models of SARS-CoV-2 unveiled
Collaboration between scientists, illustrators and simulators has culminated in highly detailed three-dimensional (3D) models of SARS-CoV-2.
