Generate
Propose candidates across a broad design space.
RESEARCH-LED DISCOVERY
Better decisions for what to test next.
In drug discovery, candidate ideas are plentiful. Evaluating them takes time and resources. Laddery is exploring how Large Discovery Models can help teams make better use of each evaluation.
Find us at BZ 48 · Breakthrough Zone · 14–15 October · London ExCeL
DISCOVERY LOOP01 / 04
GENERATEPRIORITISEEVALUATELEARN
What should
we try next?
we try next?
IDEAS EVIDENCE NEXT DECISION
THE APPROACH
Make each evaluation count.
Large Discovery Models connect candidate generation with selection and feedback. Observed results guide the next decision, rather than treating every round of ideas as a fresh start.
Explore the LDM research ↗Prioritise
Choose what to evaluate within a limited budget.
Learn
Use evaluation results to inform the next round.
COMPUTATIONAL EXAMPLES
Two design spaces.
One question: what next?
Research examples illustrate a computational evaluation loop. They are not claims of experimental or clinical validation.
KRAS G12D
molecule design
Multi-objective candidate selection under a fixed computational evaluation budget.
View the research ↗Antibody CDRH3
sequence design
Feedback from computational binding evaluation guides subsequent sequence proposals.
View the research ↗CONTINUE THE CONVERSATION
Have a discovery challenge in mind?
Tell us what you are trying to design or evaluate. We can arrange a conversation to explore whether a focused pilot would be useful.
Meet us at BZ 48
Find Laddery at stand BZ 48 in the Breakthrough Zone on 14–15 October.
Find Laddery at stand BZ 48 in the Breakthrough Zone on 14–15 October.
REQUEST A DISCUSSION ELRIG ’26