AI-Driven Virtual Screening for Drug Discovery

AI-Driven Virtual Screening for Drug Discovery

High-throughput structure-based and ligand-based virtual screening to identify promising drug candidates efficiently and accurately using advanced computational modeling and molecular simulation approaches.

TSLab provides advanced Virtual Screening services to accelerate early-stage drug discovery. By integrating structure-based modeling, molecular docking, molecular dynamics validation, and quantum-level refinement, we help researchers and pharmaceutical teams identify high-potential compounds efficiently and cost-effectively.
Our approach reduces experimental workload, shortens discovery timelines, and increases hit identification success rates.
Our Capabilities
Structure-Based Virtual Screening (SBVS)
  • Molecular docking against protein targets
  • Active site identification and validation
  • Binding affinity prediction
  • Pose analysis and interaction mapping
Ligand-Based Virtual Screening (LBVS)
  • Pharmacophore modeling
  • Similarity-based screening
  • QSAR modeling
  • Chemical space exploration
High-Throughput Screening Pipelines
  • Screening of thousands to millions of compounds
  • Custom compound library preparation
  • Natural product libraries
  • Commercial and in-house databases
Post-Screening Validation
  • Molecular Dynamics (MD) simulation refinement
  • MM/PBSA and MM/GBSA binding energy estimation
  • Stability and interaction analysis
  • ADMET prediction support

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