ConforFormer: representation for molecules through understanding of conformers

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Authors: Mas Pieter Klein, Irina Rudenko, Evgeny A. Pidko, Иван С. Бушмаринов
Cited by: 0

Abstract

ConforFormer learns to align conformers while separating isomers, producing compact 3D molecular embeddings transferable across property prediction and similarity search tasks.

Fields of Study & Subjects

Machine Learning in Materials Science Advanced Graph Neural Networks Computational Drug Discovery Methods

Publication details

Journal / source
Digital Discovery
Volume
5
Issue
6
Pages
2639–2649
Publication date
1 January 2026
Language
EN