AI platform developed to reveal how bacteria infect intestines
A new artificial intelligence (AI) method has been created to uncover which proteins enable bacteria to infect human intestines.
List view / Grid view
A new artificial intelligence (AI) method has been created to uncover which proteins enable bacteria to infect human intestines.
An AI software called ZeroCostDL4Mic has been developed by researchers to enable other scientists to analyse images from microscopy studies.
22 April 2021 | By IDBS
Register today for our on-demand upcoming webinar and discover more on about Polar High-Throughput Process Development (HTPD).
Researchers have developed a platform named FAST to produce antibiotics that specifically target just the bacteria of interest.
Researchers have developed software that can design complex DNA nanodevices which could be used to deliver medicine while in the body.
An algorithm which continuously processes new data has been developed to allow researchers to access and analyse single-cell sequencing information.
Researchers have developed an artificial intelligence to identify the best potential antibody drug from groups of up to a few thousand.
Researchers have used fragment screening alongside computational docking to reveal 20 hit antiviral compounds against SARS-CoV-2.
14 April 2021 | By Fluidigm
Watch our free on-demand webinar to learn more about using Imaging Mass Cytometry™ (IMC™) to measure over 40 protein targets with subcellular resolution.
8 April 2021 | By Beacon Discovery
Watch our on-demand webinar and learn from an industry expert regarding GPCR virtual screening approaches and challenges and much more.
A model of the SARS-CoV-2 Spike protein surface has uncovered vulnerabilities that researchers say could inform the development of COVID-19 vaccines.
Dr Sam Liver, Manager of the High-Throughput Molecular Discovery Laboratory at the Rosalind Franklin Institute, explains how lab automation in the form of machine learning and high‑throughput experimentation (HTE) can be implemented to enhance productivity in autonomous molecular discovery.
An assay that combines 3D disease models and automated AI-based fibrosis quantification could accelerate NASH drug discovery.
A novel artificial intelligence (AI) technique called ProteinGAN has shown success at studying well known proteins to develop new ones.
Here, we present IDBS Polar, a platform that securely manages drug progression in contexts of workflow, integration and insight.