Solve the toughest chemistry questions in drug discovery
Address the obstacles to drug discovery chemistry progress and keep your team focused on innovation. From binding site selection to candidate refinement, see how chemistry teams overcome complexity to deliver results and make confident, data-driven choices.
Manage the balancing act for medicinal chemistry teams
Medicinal chemistry teams must optimize structure–activity relationships (SAR) while ensuring safety and efficacy. Working alongside computational chemists and toxicologists, the team must pinpoint the right binding site, refine ligand candidates, and predict off-target risks. Each decision shapes the success of therapeutic development and can lead to costly mistakes if teams lack the necessary information.
How do we select the most effective binding site for our chosen modality?
CAS BioFinder® accelerates binding site selection by integrating 3D crystal structures, ligand analytics, and early ADMET insights. Computational chemists can quickly identify the most promising druggable pocket and converge on the best therapeutic target faster.
How do we uncover molecule–target pairs with strong therapeutic development potential?
Accelerate your hit list creation with CAS BioFinder. Explore connected ligand, target, and disease views, scaffold exploration, and deep pharmacology data. This approach helps you pinpoint ligands with strong therapeutic potential for structure-based design before you get to the lab.
How do we optimize top therapeutic candidates from our ligand set?
Rely on CAS BioFinder for rapid SAR optimization through chemical space visualization, matched molecular pairs, and insights from past analog failures. Connect ligand activity to therapeutic potential and refine candidates efficiently to advance your pipeline.
How can we confidently validate our target before passing it to the chemistry team?
Predict the potency and safety of your drug candidates early with CAS BioFinder. Integrated predictive safety screens and confidence visualizations help you understand the data behind your results. Additional adverse event data for similar known drugs and biological pathway maps ensure that your candidates maximize efficacy while minimizing off-target risks.