There comes a time in every OPIGlet’s life –all too often, if you ask me– when one is asked to write a blog post. Oh, what frightful fate to befall one! What topic to select? To what end? Something surprising? Something insightful! Something useful, at least.

Not today. Today, dear reader, we address instead the singularly most enduring, deeply seated, fervently felt yearnings of the computational scientist – a fervour woven from every fibre of their being, a longing so forceful it rends their very heart, a passion that burns with the fire of a thousand suns.

As a long-standing social sec of the OPIG research group, the key part of the job is to ensure that the event name includes some kind of pun around OPIG (and then maybe organise something). Notable ones include OPIGmas, the annual Christmas party that I am neglecting to organise at the moment, and O’Punting, our annual punting trip. For the next generation of social secs, I have proposed some new activities with even worse names.

The Olympic Games may have come and gone, but like me, I’m sure you’re all wondering which Olympic sport your favourite drug discovery tool would compete in. Fear not, I have taken it upon myself to answer this pressing question. In this blogpost, we’ll match some of the most popular tools in our field with their Olympic counterparts. Before we begin, let me clarify that I’m using the term ‘tool’ rather loosely here; I’ve included a variety of resources. I don’t claim these to be the most popular, just the ones I thought were most sport like.

RDKit: Athletics. I’m biased, but we must start with the big one. Like track and field events at the heart of the Olympics, RDKit is at the centre of many other tools in our field. It’s versatile, essential, and it’s hard to imagine our work without it. RDKit does it all.