most citedProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

71 citations · 71 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2020★ 71 cited

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

Ahmed Elnaggar, Michael Heinzinger, Christian Dallago +9

Computational biology and bioinformatics provide vast data gold-mines from protein sequences, ideal for Language Models taken from NLP. These LMs reach for new prediction frontiers…