Artificial intelligence model finds potential drug molecules a thousand times faster
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
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A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Europe’s largest meeting for life sciences professionals is just around the corner – be a part of it. This year, Drug Discovery 2022 is coming to the ever-buzzing ExCel centre in London from 4-5 October and will focus on ‘driving the next life sciences revolution’ as we build new momentum…
Jiankun Lyu hopes to use algorithms to find improved drugs by screening chemicals that may look different to a protein’s known ligands but work in a similar way.
Using an AI algorithm that models drug and target protein interactions, researchers achieved up to 97 percent accuracy in identifying promising drug candidates.
Compendium of iQue® advanced flow cytometry platform application posters: Antibody discovery and immuno-oncology.
Discover how picodroplet microfluidic technologies can identify and isolate 'hit' cells, quantify varying concentrations of antigen-specific antibodies and much more.
Researchers have developed a new method that enables high-throughput screening of Huntington’s disease organoids.
In the search for a rapid, easy way to identify drugs to fight SARS-CoV-2, researchers from across the US came together to develop and apply a high-throughput ADP-ribosylhydrolase assay, ADPr-Glo. Here, Dr Veronica Busa and Dr Anthony Leung from Johns Hopkins University describe the ADPr-Glo assay and how it can be…
In this Q&A, Immunexpress Chief Executive Officer Dr Rolland Carlson and Chief Scientific Officer Dr Richard Brandon discuss key aspects for molecular diagnostic discovery and development platforms, including how to best leverage microarray and next-generation sequencing (NGS) tools.
Learn how R&D Systems™ Avi-tag biotinylated proteins can be used as an alternative to amine biotin coupling in surface plasmon resonance experiments.
Researchers have used a high-throughput assay to screen for potential small molecule SARS-CoV-2 replication inhibitors.
A report has shown that the immuno-oncology drug discovery outsourcing market is set to be worth $2563 million by 2030.
This ebook explores the role of binding kinetics in drug discovery, current methods for kinetic parameter analysis, novel approaches and applications.
Researchers screened biologically active small molecules, finding several compounds with the ability to induce training effects on macrophages.
A report has found that rapidly evolving R&D infrastructure will help to drive the high-content screening market forwards.