Small Molecule Drug Discovery

Small molecules have long been the foundation of modern medicine, accounting for over 90% of all approved drugs. They offer unmatched flexibility in addressing a broad range of diseases. Yet despite the massive potential, with over 10⁶⁰ oral drug-like compounds theoretically possible, turning a molecular idea into a safe, effective therapy remains one of the hardest challenges in biotech. At SBH Sciences, we’ve spent 28 years immersed in drug discovery. We’ve seen the field evolve, and we’ve evolved with it. Computational chemistry and in silico drug design are advancing rapidly. These methods bring speed and scale, from de novo molecule generation to toxicity prediction. But the excitement around digital drug discovery often overlooks one essential truth: predictions are not proof. The leap from a promising computational model to a validated therapeutic is steep. Real-world biology is complex. Predicted hits rarely behave the same once they enter a cell or system. That “digital-to-wet-lab” gap is where many projects stall.

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Our Small Molecule Capabilities

  • Cell Proliferation & Cytotoxicity (1)
  • Cell Proliferation & Cytotoxicity (2)
  • Cell Proliferation & Cytotoxicity (3)
  • Cell Proliferation & Cytotoxicity (4)
  • Cell Proliferation & Cytotoxicity (5)
  • Cell Proliferation & Cytotoxicity (6)
  • Cell Proliferation & Cytotoxicity (7)
  • Cell Proliferation & Cytotoxicity (8)
  • Cell Proliferation & Cytotoxicity (9)
  • Cell Proliferation & Cytotoxicity (10)
  • Cell Proliferation & Cytotoxicity (11)

High-throughput, sensitive assays built for accurate measurement of molecular interactions and cellular outcomes.

Functional, high-purity proteins for use in target-based screening and validation.

Design and optimization of novel small molecules to improve potency, selectivity, and drug-like properties.

Systems-level evaluation of compound effects on cells — identifying mechanisms of action beyond target-based models.

Assays to confirm compound activity, analyze proliferation, apoptosis, and target engagement in relevant cell lines.

Full profiling of drug metabolism, pharmacokinetics, and safety characteristics to forecast in vivo behavior

Precision quantification of drug concentrations and metabolites in biological matrices.

Early validation of pharmacodynamic markers to track efficacy and support downstream development.

Where AI meets biology for smarter drug discovery!