An Analysis of Successful Hit-to-Clinical Candidate Pairs

Area of Science:

• Medicinal Chemistry
• Drug Discovery
• Computational Chemistry

Background:

• Lead generation is crucial for identifying drug candidates.
• Understanding common lead generation strategies informs future drug discovery efforts.
• Previous studies highlighted known compounds as a primary source for clinical candidates.

Purpose of the Study:

• To identify the most frequent lead generation strategies for clinical candidates.
• To analyze structural similarity between hits and clinical candidates.
• To examine elemental composition trends in successful drug candidates.

Main Methods:

• Analysis of 156 clinical candidates published in the Journal of Medicinal Chemistry (2018-2021).
• Evaluation of lead generation strategies including known compounds, random screening, directed screening, fragment screening, DNA-encoded library screening (DEL), and virtual screening.
• Tanimoto-MCS similarity analysis and examination of elemental incorporation (O, N, F, Cl, S).

Main Results:

• Known compounds (59%) and random screening (21%) were the most frequent lead generation strategies.
• Clinical candidates often showed significant structural distance from initial hits but shared key pharmacophores.
• Analysis of elemental composition revealed specific trends in successful drug candidates.

Conclusions:

• Lead generation from known compounds and random screening remains dominant in drug discovery.
• Pharmacophore preservation is critical for successful hit-to-lead optimization.
• Further investigation into structural modifications and elemental incorporation can guide the development of clinical candidates.