Communications BiologyBioinformaticsPeer-reviewed journal article
Real-Time Structure Search and Structure Classification for AlphaFold Protein Models
Tunde W. AderinwaleiD, Vijay Bharadwaj, Charles W. ChristofferiD, Genki TerashiiD, Zicong ZhangiD, Rashidedin Jahandideh, Yuki KagayaiD, Daisuke KiharaiD
Abstract
AlphaFold2 showed a substantial improvement in the accuracy of protein structure prediction. Following the release of the software, whole-proteome protein structure predictions by AlphaFold2 for 21 organisms were made publicly available. Here, we developed the infrastructure, 3D-AF-Surfer, to enable real-time structure-based search for the AlphaFold2 models by combining molecular surface representation with 3D Zernike descriptors and deep neural networks.
- organism: human
- organism: mouse
- organism: rat
- assay: protein structure
- research focus: protein structure prediction
- approach: deep learning
- Citations
- 61
- FWCI
- 4.57
- Field percentile
- top 3%
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