news
Researchers develop computer algorithm to identify cancer cell lines
Scientists have trained a computer algorithm to identify differences in cancer cell lines based on microscopic images, preventing the misclassification of cells.
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Informatics
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Combining deep computational learning and synthetic biology
Dr Diogo Camacho from the Wyss Institute at Harvard discusses new research into using machine learning algorithms to analyse RNA sequences and reveal potential drug targets.
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Antimicrobial resistance – a public health emergency on the horizon
Researchers at Ingenza and the University of Plymouth are using a machine learning and high‑throughput screening approach to discover novel antimicrobial therapies. In this article, Nikki Withers spoke to one of the researchers, Jack Kay, to hear about the current threat posed by antimicrobial resistance and how he hopes their…
news
Breakthrough in AI protein structure and folding prediction
An artificial intelligence (AI) system called AlphaFold has been developed to effectively predict protein structures and folding.
news
Computational model used to predict drug targets against SARS-CoV-2
A model of a human lung cell has been used to understand how SARS-CoV-2 uses host cell processes to reproduce, revealing drug targets.
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Screening In-Depth Focus 2020
In this in-depth focus find out how genetic screening can be used to customise healthcare and why scientists have turned to machine learning in the fight against antimicrobial resistance.
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Drug Target Review – Issue 4 2020
In this journal, find articles discussing antimicrobial resistance, exploring why inhibiting the interaction between SARS-CoV-2 and neuropilin-1 could help combat COVID-19, as well as how CRISPR can be used to enhance productivity in cell line development. Also in this issue, features on engineering new biologic drugs and precision medicine.
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£4 million in funding announced to collect data on COVID-19 antibodies
UKRI will provide £4 million in funding to establish a data infrastructure for scientists in the UK to study antibodies from COVID-19 patient samples.
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Scientists unveil virtual reality tool for COVID-19 drug development
The tool uses interactive molecular dynamics simulations in virtual reality (iMD-VR) to allow researchers to step inside SARS-CoV-2 enzymes and visualise molecules binding to them.
![robotic hand pipetting from petri dish of organoids next to a clock - idea of automation speeding up organoid development [Credit: Daria Sokol/MIPT Press Office].](https://www.drugtargetreview.com/wp-content/uploads/algorithm-accelerating-organoid-development.jpg)
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Researchers accelerate organoid development and selection using algorithm
The semi-automated process enabled researchers to make retinal organoid production and selection nearly four times faster.
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Using machine learning to guide and enhance bioengineering
The Automated Recommendation Tool (ART) uses machine learning to accelerate the development of cells for specified goals, eg, bioprocessing and bioproduction.
whitepaper
ebook: Eliminate 50/60 Hz line-frequency noise in less than one second
A major challenge within electrophysiology labs is 50 or 60 Hz line frequency electrical noise, which can either distort or completely drown out biological signal.
whitepaper
ebook: From ELISA to epigenetics with HTRF
Overcome HTRF detection challenges with optimised microplate reader settings and simplified analysis.
news
Interactive 3D model of SARS-CoV-2 surface released
A new interactive map of the surface of SARS-CoV-2, featuring the Spike, Envelope and Membrane proteins, has been released for researchers to use.
webinar
Next generation strategies for cancer immunotherapy
24 September 2020 | By PerkinElmer
During this on-demand webinar, two leading researchers will discuss their innovative approaches to developing novel opportunities for immunotherapy treatments.
