By combining nanobodies targeting different regions of the SARS-CoV-2 Spike protein, researchers were able to protect cells from infection.
List view / Grid view
Filter the results
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.
The novel probes, known as positive controls, could make it easier to validate rapid, point-of-care diagnostic tests for COVID-19 across the globe.
By combining machine learning and T-cell engineering researchers were able to develop cell therapies that can selectively and effectively target and destroy solid tumours.
In October this year, Emmanuelle Charpentier and Jennifer Doudna, the two scientists who pioneered the revolutionary gene-editing technology CRISPR, were awarded the Nobel Prize in Chemistry. Here, Pushpanathan Muthuirulan discusses the potential for this technology and the importance of using it safely, ethically and responsibly.
A team has extracted single tumour cells from existing cell lines to create 3D cell cultures that could allow for personalised cancer therapies.
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.
Reports suggest the market growth is driven by advances in biotechnology and its applications, as well as COVID-19 research.
Researchers have found bioengineering CHO cells using CRISPR-Cas9 can decrease the secretion of metabolic by-products that hinder growth.
The synthetic protein nanoparticle can cross the blood-brain barrier and deliver a targeted therapeutic to glioblastoma cells, say researchers.
A new single-use, closed-system upstream bioprocess has been developed which enables the production of large number of haematopoietic stem cells and progenitor cells.
Using their de novo protein design strategy, researchers engineered human angiotensin converting enzyme 2 (hACE2) protein decoys that can protect cells from SARS-CoV-2 infection.
The Automated Recommendation Tool (ART) uses machine learning to accelerate the development of cells for specified goals, eg, bioprocessing and bioproduction.
Our full gene-to-protein workflow can support your research for rapid protein production early during drug development so you can minimize changes from R&D to bioproduction.