💊 Best AI tools for Drug discovery & molecules (2026)

Molecular property prediction, docking, generative chemistry and cheminformatics libraries.

10 tools · 8 open source · each entry links to its website, code and paper.

Dated by release date, else first public paper, preprint or release date; undated tools listed after, A–Z.

REINVENT 4

AstraZeneca's generative molecular design framework.

Drug discovery & moleculesOpen source#generative#de-novo

DiffDock

Diffusion generative model for molecular docking.

Drug discovery & moleculesOpen source#docking#diffusion

TorchDrug

PyTorch platform for drug discovery ML.

Drug discovery & moleculesOpen source#pytorch#graph

Fast, widely used open-source molecular docking engine.

Drug discovery & moleculesOpen source#docking

Chemprop

Message passing neural networks for molecular property prediction.

Drug discovery & moleculesOpen source#property-prediction#gnn

DeepChem

Deep learning toolkit for drug discovery, materials and biology.

Drug discovery & moleculesOpen source#ml#molecules

OpenMM

High-performance molecular dynamics toolkit with GPU support.

Drug discovery & moleculesOpen source#molecular-dynamics

NVIDIA platform and NIMs for training and deploying biology foundation models.

Drug discovery & moleculesFreemium#platform#gpu

Open-source cheminformatics and machine learning toolkit.

Drug discovery & moleculesOpen source#cheminformatics

Cloud computational chemistry platform with ML-accelerated simulations.

Drug discovery & moleculesFreemium#quantum-chemistry#cloud