Monthly Archives: March 2020

Identifying shared antibodies using deep learning

Antibody convergence is the presence of similar antibodies in different individuals – suggesting that the individuals have had exposure to a common antigen, which has stimulated the production of similar, antigen-specific antibodies. We want to be able to identify these shared antibodies, sometimes referred to as ‘public clones’, as it could lead to development of immunodiagnostic tests against the shared antibodies, and potentially assist in the design of vaccines and therapeutic antibodies. A recent paper on bioRxiv by Sai Reddy’s group[i] has applied deep learning techniques – variational autoencoders (VAE) and support vector machines (SVM) – to the problem of how to identify shared antibodies.

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Streamlining SSH for remote work

With the university now working remotely, and our group working entirely on linux systems, I figured that now would be a good time to share some useful SSH commands to streamline remote access. This is far from an exhaustive list, but will hopefully serve as a useful starting point for anybody who finds themself needing to work remotely on a linux system.

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TCRBuilder: Multi-state T-cell receptor structure prediction

Hello friends of OPIG,

From my last blopig blog post [link: https://www.blopig.com/blog/2019/10/comparative-analysis-of-the-cdr-loops-of-antigen-receptors/], I summarised our findings that TCR CDRs are more flexible than their antibody counterparts. Because of this observation, we believe that it is more appropriate to represent TCR binding sites using an ensemble of conformations.

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CCK-18 is Going Virtual

We are going virtual! Our next Comp Chem Kitchen, CCK-18, will be via a Zoom Webinar, on Friday, March 27, 2020, at 5-6 pm. We are delighted to announce that Prof. Andreas Bender from the University of Cambridgewill be speaking, as well as Dr Vicky Hellon from F1000 Research. To attend the CCK-18 webinar, you must sign up for a free Eventbrite ticket (limit 100).

Converting Miles to Kilometres – An inefficient but neat method

Picture this: You’re a zealous acolyte of the metric system, with a rare affliction that makes multiplying decimal numbers impossible. You’re on holiday in the UK, where road signs give distances in miles. Heathens! How can you efficiently estimate the number of kilometres without multiplying by approximately 1.60934?

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Visualisation of very large high-dimensional data sets as minimum spanning trees

Large high-dimensional data sets are frequently used in chemical and biological sciences. For example the ChEMBL database contain millions of bioactive molecules from the scientific literature and their associated biological assay data are usually used for drug discovery. Visualising such databases helps understand the structure of data.

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Bayesian Optimization and Correlated Torsion Angles—in Small Molecules

Our collaborator, Prof. Geoff Hutchison from the University of Pittsburg recently took part in the Royal Society of Chemistry’s 2020 Twitter Poster Conference, to highlight the great work carried out by one of my DPhil students, Lucian Leung Chan, on the application of Bayesian optimization to conformer generation:

Lightning-fast Python code

Scientific code is never fast enough. We need the results of that simulation before that pressing deadline, or that meeting with our advisor. Computational resources are scarce, and competition for a spot in the computing nodes (cough, cough) can be tiresome. We need to squeeze every ounce of performance. And we need to do it with as little effort as possible.

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Coronavirus

A zoonosis is an infectious disease that has jumped from a non-human animal to humans.

A painting by David S. Goodsell showing coronavirus in pink and purple. Secreted mucus (greenish threads) and antibodies (yellow/orange Y-shapes), and several small immune systems proteins (orange) from the lungs’ respiratory cells surround it. © 2020, David S. Goodsell.

The coronavirus disease 2019 (COVID-19) is one such zoonosis, and is caused by severe acute respiratory syndrome coronavirus 2 (SARS coronavirus 2, SARS-CoV-2, or 2019-nCoV). This is very similar to the SARS virus that emerged in 2003. Its recent emergence has resulted in a WHO-declared public health emergency of international concern.

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Considering Containers? – Go for Singularity

Docker is an excellent containerisation system ideally suited to production servers.  It allows you to do one small thing but do it well.  For example, breaking a large blog up into individually maintained containers for a web-server, a database and (say) a wordpress instance. However due to inherent security woes, Docker doesn’t play nicely with multi-tenanted machines, the kind which are the bread and butter for researchers and HPC users.  That’s where Singularity steps in.   

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