news
Inactivated human muscarinic receptors used in new screening method
Researchers have developed a new screening technique by inactivating the molecular structure of the human muscarinic receptor, allowing them to test potential drugs.
List view / Grid view
Artificial Intelligence
article
Using virtual screening to identify coronavirus treatments
Drug Target Review rounds up the latest updates on research into coronavirus treatments, focusing on virtual screening to find therapies for COVID-19.
article
Discovering and designing drugs with artificial intelligence
The first drug designed using artificial intelligence (AI) has moved into its Phase I trial. Professor Andrew Hopkins of Exscientia explains how an algorithm was used to achieve this milestone.
news
Chemical reactions database updates to improve R&D information exchange
The newest version of the Unified Data Model (UDM) project has been released, allowing R&D scientists to access information on compound synthesis and testing.
news
Novel antibiotic compound revealed through artificial intelligence screening
A new antibiotic compound has been identified by researchers who designed a machine-learning algorithm to screen millions of molecules.
news
Artificial intelligence trained to find disease-related genes
Researchers have developed an artificial neural network using deep learning to identify genes that are related to disease.
news
Study identifies drug design applications as main recipient of AI investment
Research suggests that over half of the total $5.2bn investment for artificial intelligence in pharma went to drug design applications in 2019, but overall investment is slowing.
article
Exploring chemical space for epigenetic drug discovery using AI
It is said that, on average, it takes a new drug 12 years to go from research lab to patient, with many thousands of candidates discarded along the way. Can artificial intelligence (AI) help to speed things up? Sheraz Gul and Alp Sahin provide an overview of an AI approach…
news
Research shows the pharma industry believes AI will likely optimise R&D
A survey has shown that the pharmaceutical industry believes R&D will see a lot of benefit from digital transformation and that AI will be at the forefront.
news
Appearance of proteins used to predict function with machine learning
Researchers have used a machine-learning algorithm to study protein appearance and discover common features that influence function, which could be used to design artificial cells.
article
Drug Target Review – Issue 4 2019
This issue includes a discussion on the future of high-throughput screening through collaboration, an analysis of mass spectrometry as a structural biology tool and an exploration of the challenges of hit-to-lead when researching tropical diseases. Also in the issue are articles on immuno-oncology and assays.
news
The Olympus scanR high-content screening station rapidly acquires quantitative data from cell-based assays
Self-learning microscopy opens new horizons in high-content analysis and advances phenotypic screening.
news
AI in drug discovery market to increase at CAGR of 40.8 percent
Research has found that artificial intelligence in drug discovery will be worth $1,434 million by the end of 2024.
news
ELRIG Drug Discovery 2019: looking back to the future
On 5-6 November, ACC Liverpool hosted the ELRIG Drug Discovery event, which allowed R&D professionals to come together and discuss the latest industry developments.
news
New AI software shows the nature of RNA-protein interactions
New software has been developed that can reveal the detailed RNA-binding properties of proteins, which is important for characterising the pathology of many diseases.
