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Facile Synthesis of Colloidal Lead Halide Perovskite Nanoplatelets via Ligand-Assisted Reprecipitation
Published on: October 1, 2019
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Practical application of ligand efficiency metrics in lead optimisation.
James S Scott1, Michael J Waring2
1Medicinal Chemistry, Oncology, IMED Biotech Unit, AstraZeneca, Cambridge CB4 0WG, United Kingdom.
Bioorganic & Medicinal Chemistry
|April 16, 2018
Summary
Medicinal chemists use composite metrics to normalize drug potency. This study presents guidelines for lipophilicity-based optimization, enhancing drug discovery projects and enabling successful lead optimization.
Area of Science:
- Medicinal Chemistry
- Drug Discovery
- Computational Chemistry
Background:
- Composite metrics normalizing biological potency with physicochemical properties (e.g., lipophilicity) are increasingly used.
- Lack of consensus and criticisms surround the application of these metrics.
- Lead optimization in drug discovery requires robust methodologies for evaluating compound quality.
Purpose of the Study:
- To present a practical approach for applying composite metrics in lead optimization.
- To objectively discuss the principles guiding the use of these metrics.
- To illustrate the utility of lipophilic ligand efficiency (LLE) in advancing drug discovery projects.
Main Methods:
- Development and application of lipophilic ligand efficiency (LLE) as a composite metric.
- Analysis of LLE in the context of lead optimization projects.
- Derivation of heuristic guidelines for lipophilicity-based optimization.
Main Results:
- Successful application of LLE facilitated the progression of multiple drug discovery projects.
- Demonstrated the utility of LLE in guiding medicinal chemistry efforts.
- Identified key principles for effective use of lipophilicity in optimization.
Conclusions:
- The proposed approach and derived guidelines offer a framework for lipophilicity-based optimization.
- These guidelines are potentially applicable across diverse chemical series and protein targets.
- Standardized use of metrics like LLE can improve the efficiency and success rate of drug discovery.
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