A machine learning model that could identify antibody targets
Using a machine learning model, scientists could predict not only the virus an antibody will attack, but which features on the pathogen the antibody binds to.
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Using a machine learning model, scientists could predict not only the virus an antibody will attack, but which features on the pathogen the antibody binds to.
The COVID-19 pandemic has placed a spotlight on the discovery and development of biotherapeutics, for both the treatment and prevention of diseases. In this article, industry experts discuss the emerging trends they see in biotherapeutic development and how they predict the field will evolve in the near future.
Read this bulletin to learn about a Bio-Rad study where they developed and tested a 16-parameter flow cytometry panel applicable to the interrogation of a range of biologically relevant markers of T cell activation.
Scientists have created a pipeline for identifying, prioritising and evaluating potential tumour antigens for personalised cancer vaccines.
In this exclusive piece, Adrien Châtillon, Co-Founder and CEO of Actipulse Neuroscience, explores the future of treatment for diseases that impact mental health.
Sanofi and Exscientia will develop up to 15 novel drug candidates by leveraging the latter's AI discovery and optimisation platform.
12 January 2022 | By Thermo Fisher Scientific
Explore new methods and software enhancements to support your bioanalytical workflows by watching this on-demand webinar.
A new platform, named Virtual Synthon Hierarchical Enumeration Screening, has been developed by researchers to efficiently discover drugs.
In this Q&A, Professor Ross King from the University of Cambridge, UK, discusses how a new machine learning approach could aid drug discovery and development. The method learns from multiple problems and improves performance while it learns.
Learn about how Thermo Scientific™ Watson LIMS™ software can help manage bioanalytical studies, working to industry and regulatory standards for small and large molecule testing.
A new study in the US has used a computer model to reveal the mechanism of action of lipoprotein-associated phospholipase A2 – a biomarker for cardiovascular disease.
4 January 2022 | By SomaLogic
Watch our on-demand one-hour session to discover groundbreaking work to advance precision medicine for Castleman disease.
In this podcast, join Tyler Pascoe and Matt Gruver from Thermo Fisher Scientific as they explore the new Watson LIMS software.
A microplate-based method for the determination of association and dissociation rate values in high throughput using a kinetic probe competition assay (kPCA).
This issue includes articles that discuss the development of long-term 3D tissue cultures from human biopsy samples, the application of flow cytometry in drug discovery and automation for upstream processing in a biologics manufacturing environment. Also included are features on informatics, proteomics and CRISPR.