FraGAT

FraGAT, a Fragment-oriented Multi-scale Graph Attention Network, enhances molecular property prediction by incorporating the hierarchical structures of molecules, which existing graph-based models have largely overlooked. Recognizing the crucial role of functional groups within molecules in determining their physio-chemical properties and binding affinities, FraGAT represents molecules through graph fragments containing or constituting functional groups. This approach allows for a more nuanced and accurate prediction of molecular properties.

The development of FraGAT is underpinned by a novel definition of molecule graph fragments aimed at capturing the essential functional groups relevant to molecular properties.

Topic

Molecular modelling;Chemistry;Molecular biology;Small molecules

Detail

  • Operation: Molecular docking;Small molecule design;Network analysis;Phasing

  • Software interface: Library

  • Language: Python

  • License: Not stated

  • Cost: Free of charge

  • Version name: -

  • Credit: National Key Research and Development Program of China, National Natural Science Foundation of China.

  • Input: -

  • Output: -

  • Contact: Shuigeng Zhou sgzhou@fudan.edu.cn

  • Collection: -

  • Maturity: -

Publications

  • FraGAT: a fragment-oriented multi-scale graph attention model for molecular property prediction.
  • Zhang Z, et al. FraGAT: a fragment-oriented multi-scale graph attention model for molecular property prediction. FraGAT: a fragment-oriented multi-scale graph attention model for molecular property prediction. 2021; 37:2981-2987. doi: 10.1093/bioinformatics/btab195
  • https://doi.org/10.1093/BIOINFORMATICS/BTAB195
  • PMID: 33769437
  • PMC: PMC8479684

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