​
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.

​
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]

​
Example:

​
Try it out

Try it for yourself on the platform