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Analysis of several key factors influencing deep learning-based inter-residue contact prediction
2019
Bioinformatics
Deep learning has become the dominant technology for protein contact prediction. However, the factors that affect the performance of deep learning in contact prediction have not been systematically investigated. We analyzed the results of our three deep learning-based contact prediction methods (MULTICOM-CLUSTER, MULTICOM-CONSTRUCT and MULTICOM-NOVEL) in the CASP13 experiment and identified several key factors [i.e. deep learning technique, multiple sequence alignment (MSA), distance
doi:10.1093/bioinformatics/btz679
pmid:31504181
pmcid:PMC7703788
fatcat:hngd5dxlt5exbcwadskicjgr3a