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Algorithm to predict sites of DNA methylation and drug targets developed
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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New insights into human and mouse genomes published in NIH study
The third phase of the ENCODE project has been released, with new information on genes and their potential regulators in their respective genomes.
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Team suggest bradykinin system could be targeted by COVID-19 drugs
Researchers say computational analyses suggest the bradykinin system may explain some of the symptoms of COVID-19, providing a drug target.
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Technique to visualise hundreds of genomes simultaneously developed
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.
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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.
article
Five of the most recent microscopy developments
Drug Target Review highlights five of the latest imaging advancements in the field of microscopy.
article
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.
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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.
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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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Genomics England launches next-generation research platform
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.
article
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.
video
On-demand webinar: How to be a spectral superstar – NMR & MS analysis made easy
Software to help synthetic and medicinal chemists process and analyze all their spectral data in a single location.
video
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