AI Summary

A new method created at MIT, called CheMeleon, adapts to predict molecular properties when only limited data are available. The approach is designed to handle technologically relevant properties such as ligand affinities for newly discovered cellular targets, a scenario where traditional calculations lack sufficient information. In tests, CheMeleon outperformed existing methods at narrowing down candidate molecules for potential drug development. The technique aims to reduce the trial‑and‑error cycle that currently dominates discovery in pharmaceuticals, electronics and energy materials.

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