:max_bytes(133120)/d2j5s05om7evfr.cloudfront.net/pubmed-llm-images/40365766/989e2480fac186573cce64d490bb58dd_wm.png)
Graph Neural Network for 3-Dimensional Structures Including Dihedral Angles for Molecular Property Prediction.
Summary: Scientists are using computers to guess how different chemicals will act, like whether they are toxic or dissolve easily in water. Usually, computer programs only look at a flat, 2D picture of the chemical. But real chemicals are 3D shapes! A new computer tool called GNN3Dihed looks at the full 3D shape, including the specific twists and turns of the chemical bonds. By seeing the whole 3D picture and using a clever trick to compress the data, this new tool makes much better guesses than older models without slowing down.
Tags
Autoencoder
Graph Neural Networks
Molecular Structure