Drug-Likeness Score

Computational Pharmacology

A quantitative assessment of how closely a compound's physicochemical properties resemble those of known oral drugs. Scores are derived from property distributions (molecular weight, logP, HBD, HBA, rotatable bonds, TPSA) and structural features. Drug-likeness filtering is applied early in drug discovery to prioritize compounds with favorable oral bioavailability and developability profiles.

Örnekler

  • Lipinski Rule of Five — MW<500, logP<5, HBD<5, HBA<10
  • QED (Quantitative Estimate of Drug-likeness) — desirability score 0-1
  • Veber rules — rotatable bonds <=10, TPSA <=140 A^2 for oral bioavailability

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A quantitative assessment of how closely a compound's physicochemical properties resemble those of known oral drugs. Scores are derived from property distributions (molecular weight, logP, HBD, HBA, rotatable bonds, TPSA) …