Computational Chemistry

Applying molecular modeling, virtual screening, predictive analytics, and AI-enabled design approaches to accelerate hit identification, guide lead optimization, and improve discovery decision-making.

Guiding Smarter Discovery Decisions

Computational chemistry expertise, molecular modeling, and structure-based design approaches for hit identification, target evaluation, and medicinal chemistry strategy.

Our scientists apply predictive modeling and virtual screening techniques to accelerate compound prioritization and lead optimization across discovery programs.

Molecular Modeling & Structure-Based Design

Structure-based modeling workflows designed to evaluate ligand binding, explore target interactions, and guide rational compound design.

  • Molecular docking workflows
  • Structure-based design strategies
  • Binding interaction analysis

Virtual Screening & Chemical Space Exploration

Computational screening and scaffold exploration workflows designed to prioritize compounds and identify promising chemical series.

  • Virtual screening workflows
  • Scaffold hopping and hit expansion
  • Chemical space exploration

Predictive Modeling & Optimization

Data-driven modeling approaches supporting SAR evaluation, compound prioritization, and lead optimization decisions.

  • QSAR and conformational analysis
  • Conformational analysis
  • Multi-parameter optimization support

AI-Assisted Molecular Design

Computational approaches designed to generate, evaluate, and prioritize compounds with desirable molecular properties.

  • AI-assisted molecular design
  • Molecular property prediction
  • Compound prioritization

Virtual Library Screening

Large-scale computational screening approaches designed to identify promising compounds across expansive chemical space.

  • Virtual library screening
  • Hit identification and prioritization
  • Chemical space exploration

Scaffold Exploration

Modeling and scaffold-hopping strategies designed to identify novel chemical series and support medicinal chemistry optimization.

  • Scaffold hopping
  • Hit expansion
  • Novel series identification

Discovery Decision Support

Computational insights integrated with medicinal chemistry programs to guide compound progression and optimization.

  • SAR analysis
  • Lead optimization support
  • Discovery strategy guidance