Models

Automated Design Of Multi Target Ligands By Generative Deep Learning

AI model: Automated design of multi-target ligands by generative deep learning. From Goethe University Frankfurt,Fraunhofer Institute for Translational Medicine and Pharmacology,Ludwig Maximilian University of Munich.

RunnableBiology model

Catalog entry

About this entry

AI model: Automated design of multi-target ligands by generative deep learning. From Goethe University Frankfurt,Fraunhofer Institute for Translational Medicine and Pharmacology,Ludwig Maximilian University of Munich. Domain: Biology. Task: Drug discovery. Reference: https://www.nature.com/articles/s41467-024-52060-8

CategoryModels
StatusRunnable
InputFlexible research data
OutputResults ready for review

Use in DarwinOmics

How to use it

Use this model when the submitted analysis depends on embeddings, predictions, scoring, generation, or model-backed comparison. Model output is treated as a reproducible analysis step, not as independent validation of a biological claim.