Molecule Optimization

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Molecule Optimization in Faraday

Faraday provides powerful molecule optimization capabilities to help you generate novel molecules with improved drug-like properties using multi-objective optimization. Whether you’re looking to enhance existing compounds or explore new chemical space, Faraday can systematically optimize your molecules across multiple parameters simultaneously.

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Multi-Objective Optimization

Faraday helps you generate novel molecules with improved drug-like properties using advanced multi-objective optimization algorithms. The platform can simultaneously optimize across multiple molecular properties to find the best balance for your specific requirements.

Currently supported optimization properties include:

• QED – Quantitative Estimate of Drug-likeness
• TPSA – Topological Polar Surface Area
• MolLogP – Lipophilicity
• ExactMolWt – Molecular weight

Sample prompts:

• Optimize [SMILES string] for better drug-likeness
• Improve the QED and reduce molecular weight of this compound: [SMILES]
• Generate analogs with better ADMET properties
• Optimize this molecule for oral bioavailability
• Balance lipophilicity and solubility for [compound name]

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Example:

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