Modeling the Language of Life - Deep Learning Protein Sequences
Michael Heinzinger, Ahmed Elnaggar, Yu Wang, Christian Dallago, Dmitrii Nechaev, Florian Matthes, Burkhard Rost
This paper introduces SeqVec, a method to represent protein sequences as continuous vectors using deep learning, achieving better prediction results than methods relying on evolutionary information.
BMC Bioinformatics · Dec 1, 2019Peer-reviewedBioinformatics