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Machine Learning for Protein Engineering - here to stay

Machine Learning and Deep Learning have been buzzwords for quite some time now, but in the last few years, the impact on real-world applications has started to show. Here, Kieran Didi discusses how AI is revolutionising protein engineering.

Engineering T cell receptors for effective T cell activation and immunotherapy

Chris Szeto discusses different models of T cell activation and explains why there’s a lot more to it than binding affinity. In his work just published in Nature Communications, Chris reveals the world’s first disulfide-linked T cell receptor – peptide antigen model.

Engineering CRISPR-Cas9 toolkits for next-gen gene therapies

The market for gene therapy in the treatment space is booming. Gene therapy products are sitting at a critical juncture: from technological pipedream to the centrepiece of clinical treatment.

SARS-CoV-2: getting the data out there, and getting more from it

The processed X-ray diffraction data used to produce the structures of SARS-Cov-2 proteins are freely available. This means that anyone can improve these models using open source software. Better structures mean more biological insights.

Structural Biology of SARS-CoV-2

Like many scientific communities, structural biologists have responded extraordinarily quickly in the fight against the coronavirus (SARS-CoV-2, also referred to as 2019-nCoV) and the resultant disease COVID-19, by determining the structure of many of the viral proteins.

It's a small world

Welcome to the PTNG Consulting blog. Here I will try to provide a commentary of some of the current news and events in science, medicine and biotech, in the context of structural biology and protein engineering.