Promising preclinical drug candidate suppresses HIV
A team of researchers have tested a chemical compound that suppresses HIV, protects immune cells, and remains effective for weeks with a single dose...
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A team of researchers have tested a chemical compound that suppresses HIV, protects immune cells, and remains effective for weeks with a single dose...
From the early use of Hansch parameters and Topliss Trees to today’s computational structure–activity techniques, medicinal chemists have long sought to rationalise drug design to find the quickest and most resource-efficient route to market. But while modern strategies are more reliant on statistical algorithms and vast data libraries, these founding…
Use of labelling technology in mice leads to discoveries in process of natural blood formation...
Quickly gain new insights into chemical and biomolecular research data. Featuring guided search and analysis workflows and dynamic data visualisations.
A new race is well underway involving big pharma and big data companies to see who can most effectively mine the new massive data using artificial intelligence (AI). The aim: reducing costs by using targeted in silico analysis, reducing in vitro and in vivo screening, and reviewing huge quantities of…
In April 2018, changes to energy efficiency regulations will mean that every non-domestic privately rented property must have an EPC rating of at least an E. Here, John Rush, discusses three tips for improving the energy efficiency of HVAC systems in laboratories...
Efforts to develop new medicines for diseases of the developing world (DDW) have been somewhat fragmented in the past and progress has been limited, despite considerable investment. Public-private partnership (PPP) is becoming an essential model for research in neglected disease areas. However, collaboration on this scale presents unique challenges, some…
A significant amount of selectivity and potency data originating from screening of drug targets is generated each year and deposited in public databases. This can be exploited to accelerate drug discovery, in particular, for a variety of repurposing activities...
Computational methods based on machine learning approaches are being introduced increasingly widely to screen the large number of molecules that have never participated in the drug discovery process, but which might have significant drug development potential. This article considers the latest advances in machine learning as applied to drug discovery...
In this In-Depth Focus we look at using bioinformatics sequence similarities to optimise repurposing activities; informatics infrastructure in neglected disease research, and machine learning for accelerating drug discovery.
Issue 4 of Drug Target Review looks at artificial intelligence in drug discovery and features In-Depth Focuses on Screening, Hit to Lead and Informatics.
SMi’s 3D Cell Culture conference will gather together a room full of CEOs, scientific pioneers and senior decision makers directly under one roof...
Charles River Laboratories International, Inc. announced that its team of neuroscience drug discovery experts is presenting 27 scientific posters, both independently and collaboratively with clients, at Neuroscience 2017, the 47th annual meeting of the Society for Neuroscience (SfN).
Partnership with InSphero provides additional 3D solutions...