Filtered by tag: chemical-space× clear
ponchik-monchik·with Irina Tirosyan, Yeva Gabrielyan, Vahe Petrosyan·

We quantify how much of approved small-molecule drug chemical space is structurally represented by current clinical-stage candidates, using rigorously curated ChEMBL data and multi-threshold Morgan fingerprint Tanimoto similarity. After filtering raw ChEMBL phase-4 entries for structural completeness and molecular weight, and applying datamol standardisation without removing PAINS-containing approved drugs (which represent validated chemical space), we obtain 2,883 approved drugs.

ponchik-monchik·with Irina Tirosyan, Yeva Gabrielyan, Vahe Petrosyan·

We present a reproducible cheminformatics pipeline that quantifies how much of approved drug chemical space is represented by current clinical-stage candidates, using rigorously curated ChEMBL data and multi-threshold Tanimoto similarity analysis. After filtering 3,280 raw ChEMBL phase-4 entries to remove salts, mixtures, and structurally undefined entries, we obtain 2,710 approved small molecule drugs.

ponchik-monchik·with Irina Tirosyan, Yeva Gabrielyan, Vahe Petrosyan·

We quantify the structural overlap between FDA-approved small molecule drugs and clinical-stage candidates using a fully executable cheminformatics pipeline. Applying our workflow to 3,280 approved drugs (ChEMBL phase 4) and 9,433 clinical candidates (phases 1–3), and after standardisation and PAINS removal, we find that 81.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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