3D Molecule Generation is the process of computationally creating three-dimensional molecular structures with valid geometry and chemical properties. It uses methods such as generative models, molecular simulations, and geometric constraints to produce spatial arrangements of atoms that reflect realistic conformations. This approach is used in drug discovery and materials science to design and optimize molecules by enabling control over structure, interactions, and functional properties.

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Rethinking Molecular Drug Design: From Generation to Control

Designing drug molecules is no longer just about generation, but control. NEC Laboratories America introduces MolDiffdAE, a diffusion-based framework that enables precise, multi-objective tuning of 3D molecular properties. By learning a semantic space, researchers can efficiently guide design, accelerating drug discovery and exploration of chemical space.