TernaryTx news.
Ternary Launches ‘Building an AI Scientist’ Hackathon to Redefine the Future of AI-Powered Drug Discovery
Applications are open for a three-day Hackathon bringing together engineers, scientists, founders and AI builders to tackle some of the biggest challenges in drug discovery. Co-hosted by future.bio, Pluto House and Anthropic, the event takes place at 50Y in Soho, London.
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From 3–5 July, we will host Building an AI Scientist, an AI for Drug Discovery Hackathon designed to bring together ambitious minds from across AI, biotech and software engineering to explore how frontier AI can accelerate scientific discovery.
Co-hosted by future.bio, Pluto House and Anthropic, the event will take place at 50Y in Soho, London, bringing together a curated group of builders, researchers and entrepreneurs to create the next generation of tools and intelligent systems capable of transforming how new medicines are discovered.
AI is advancing at an extraordinary pace, creating new opportunities to rethink how scientific research is conducted. From foundation models and autonomous agents to advances in reasoning and data analysis, entirely new approaches to drug discovery are becoming possible.
At TernaryTx, we are already implementing AI-driven products across our organisation, seeing incredible gains in areas varying from experimental data processing, analysis and visualisation, to target assessment. We now want to see how far we can push the boundaries across the spectrum of drug discovery activities.
That’s why we’re launching Building an AI Scientist.
Over the course of the weekend, teams will tackle challenges including:
- Discovering and prioritising novel drug targets
- Predicting toxicity and improving drug safety
- Unlocking insights from scientific literature, patents and experimental data
- Building autonomous AI scientists and research agents
- Developing new approaches to scientific decision-making and experimentation
This weekend is all about democratising AI drug discovery. The result of this will be open access products that anyone can use as a starting point to integrate into their internal processes and refine with their own data and models.
Alongside hands-on building, attendees will have access to mentorship from experts across AI and biotech, technical support, frontier AI tools and opportunities to collaborate with some of the brightest people working at the intersection of science and technology.
The weekend will begin with a panel discussion exploring the future of AI in drug discovery, before moving into two days of intensive building, collaboration and experimentation. Teams will then present their work to a panel of judges, with a cash and credits prize fund awarded to the most impactful projects.
Why We’re Doing This
For us, this Hackathon is about more than a single weekend.
We believe some of the most exciting breakthroughs in drug discovery will emerge at the intersection of AI, biology and software engineering. As AI capabilities continue to advance, there is an opportunity to rethink how scientific discovery happens — making it faster, more accessible and more collaborative.
Building an AI Scientist is our way of bringing together exceptional engineers, scientists, founders and researchers to explore that future together.
Over the course of the weekend, teams will tackle real-world scientific challenges, test ambitious ideas and build tools with the potential to make a meaningful impact on how new medicines are discovered.
We also believe innovation happens when talented people with different perspectives come together around a shared problem. By creating a space for collaboration across AI, biotech and software engineering, we hope to spark new ideas, new partnerships and new approaches to some of the biggest challenges facing science today.
Ultimately, Building an AI Scientist is about exploring what’s possible when frontier AI is placed in the hands of ambitious builders and applied to problems that genuinely matter.
Who Should Apply?
We’re looking for ambitious engineers, scientists, founders, researchers and students who want to help shape the future of AI-powered drug discovery. Applications are open to:
- AI and Machine Learning Engineers
- Software Engineers
- Computational Biologists
- Scientists and Researchers
- Founders and Entrepreneurs
- Students and PhD Candidates
Whether applying individually or as part of a team, successful applicants will join a high-calibre group of people building at the frontier of AI and biotechnology.
TernaryTx raises €4.1 million in seed funding
Daphni leads the €4.1 million round, co-invested by Pace Ventures, i&i Biotech Fund and UK Innovation & Science Seed Fund (managed by Future Planet Capital).
This investment enables us to scale our AI-driven platform to discover molecular glue therapeutics. By combining physics-informed AI with rapid experimental validation, TernaryTx is turning what has historically been a chance discovery process into a repeatable engineering system for drug discovery.
As part of its next phase, Dr Ian Taylor was appointed to the Board. Dr Taylor is a veteran of targeted protein degradation research and was recently CSO and President of R&D at Arvinas.
Preprint: benchmarking FEP against Boltz-2 for binding affinity prediction
This study presents the first comprehensive comparison of two computational methods for predicting binding affinity: the accurate-but-costly Free Energy Perturbation (FEP) and the fast co-folding model Boltz-2. Across 140 measurements on six complexes, FEP consistently demonstrated strong predictive accuracy. The paper also shows the ability of FEP to predict selectivity between off-targets.
Read preprint →TernaryTx comes out of stealth
Platform announced: Leopard, Puffin, Gecko, and Octopus — four interconnected tools combining AI and molecular dynamics for the rational design of molecular glue therapeutics targeting undruggable proteins.