Hit & Lead Finding
Prioritize promising candidates with a broader view of target interactions.
IBIS Therapeutics uses an AI-driven, proteome-wide approach to help identify promising drug candidates, assess selectivity and safety, deconvolute phenotypic targets, and predict polypharmacology.
Evaluating interactions across diverse drug candidates and a curated collection of disease-modifying and toxicity-causing protein targets.
The current public IBIS site frames the problem around understanding drug-candidate interactions beyond a single target. Its Molecular Fingerprint™ Platform is positioned to broaden that view.
Prioritize promising candidates with a broader view of target interactions.
Explore selectivity, safety, mutations and binding effects as candidates evolve.
Support discovery decisions through the stages of drug development.
IBIS currently presents three engagement pathways: collaborative research, partnered discovery, and discovery services.
Discuss a CollaborationInvestigate Ibis safety profiling across projects and therapeutic areas and generate machine-learning models for toxicity profiling.
Explore opportunities around target-disease combinations, repurposing, and preclinical assets.
Prioritize compounds, explore mutation effects on binding, and deconvolute targets from phenotypic assays.