Transformer-based deep learning for predicting protein properties in the life sciences - PMC
Recent developments in deep learning, coupled with an increasing number of sequenced proteins, have led to a breakthrough in life science applications, in particular in protein property prediction. There is hope that deep learning can close the gap ...
eLife . 2023 Jan 18;12:e82819. doi: 10.7554/eLife.82819 Transformer-based deep learning for predicting protein properties in the life sciences Abel Chandra Abel Chandra 1 Department of Computing Science, Umeå University, Umeå, Sweden Find articles by Abel Chandra 1 , Laura Tünnermann Laura Tünnermann 2 Umeå Plant Science Centre (UPSC), Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden Find articles by Laura Tünnermann 2 , Tommy Löfstedt Tommy Löfstedt 1 Department of Computing Science, Umeå University, Umeå, Sweden Find articles by To
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