I have
created a GitHub page to share some of the codes that I used to conduct text
mining to extract HBV-related genetic information from PubMed Central. This
code is easily adaptable to search through sentences that satisfy your keyword search,
so please take a look if you are interested: https://github.com/angoto/HBV_Code.
Note: GitHub page is currently unavailable online, but will be accessible in due course.
A significant part of the work we do here in OPIG revolves around antibodies, the proteins of the immune system that bind to and help remove any foreign entities that find their way into the body. Since antibodies can be developed that target basically anything, they have become extremely useful as therapeutics. In our research, we develop computational tools that can be incorporated into various points along the antibody discovery pipeline. These tools include our database of antibody structures, SAbDab, and a series of predictive tools (e.g. structural modelling algorithms like ABodyBuilder) which are known collectively as SAbPred.
For the past couple of years I’ve been involved in running the Oxford University Scientific Society. We host weekly talks in Oxford during the Undergraduate Term, inviting speakers from all scientific disciplines to come and discuss their field with our members. Here are four important lessons I’ve learned from being involved!
The Death of the entire ruling Romanov Family in 1917
In 1917, Tsar Nicolas II, together with his wife, the Tsarina Alexandra, their five children (Maria, Anastasia, Olga, Tatiana and crown prince Alexei), and four servants, was executed and hastily buried in non-marked graves. His death ended the monarchic rule of House Romanov in Russia; no Tsar would ever sit on the Imperial throne again. A house which included famous Tsars Peter the Great and Catherine the Great was literally eradicated overnight.
Manually tuning hyperparameters in a neural network is slow and boring. Using Bayesian Optimisation to do it for you is slightly less slower and you can go do other things whilst it’s running. Susan recently highlighted some of the resources available to get to grips with GPyOpt. Below is a copy of a Jupyter Notebook where we walk through a couple of simple examples and hopefully shed a little bit of light on how the algorithm works.
One could easily find dozens of reasons for which UNIX — mainly Ubuntu — is simply, the best operating system. Although I remember people in my proximity mentioning this for ages, it’s been only a few months that I’ve realized what are the true advantages. Helpful for this were all the people teaching/demonstrating in various modules during my first year in SABS/DTC: quite often we would be asked to do something in the console rather than by clicking the mouse. In the meanwhile, I’d wonder why using the console can be better from a nice, user-friendly GUI (i.e. Windows…). Tools like sed, grep,tar and of course alias-ing form a quick answer. I will not argue more about these but demonstrate two more tools/tricks.
Allow me to present our recently accepted paper: Comparative analysis of the CDR loops of antigen receptors, to appear in Frontiers in Immunology [1]. In the blog post I will give a quick five-minute summary of the key messages in this work.
NeurIPS is the largest machine learning conference (by number of participants), with over 8,000 in 2017. This year, the conference will be held in Vancouver, Canada from 8th-14th December.
Recently, the list of accepted papers was announced, with 1430 papers accepted. Here, I will highlight several of potential interest to the chem-/bio-informatics communities. Given the large number of papers, these were selected either by “accident” (i.e. I stumbled across them in one way or another) or through a basic search (e.g. Ctrl+f “molecule”).
For the third year running, the Oxford Protein Informatics Group of Professors Deane and Morris traveled to a bucolic, remote location for a series of talks (long and lightning), journal clubs, and hands-on practicals—not to mention evenings of quizzes, board games, and an afternoon of exploration of local attractions.
Kington, Herefordshire
Thanks to the organization of OPIG Members Mark Chonofsky and Javier Prado Diaz, five hire cars and one motorbike, some two dozen of us traveled from Oxford to the rolling hills and orchard country of Herefordshire, and Kington, near the border with Wales. We had the whole YHA Kington to ourselves from Wednesday until Friday, September 18-20, 2019. Our schedule was packed with great talks, and a few opportunities to press, watch people press, or tell people to press, <shift><enter>.
It’s been several years since I last presented a talk on prions to OPIG, so I thought a neat way of getting up to date would be to read “The prion 2018 round tables“. What’s the current understanding and are we any closer to determining a structure of PrPSc?