ProtTrans: Towards Cracking the Language of Lifes Code Through Self-Supervised Deep Learning and High Performance Computing-Reference-Cited by-同舟云学术

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

Published:2021 Issue: Volume: Page:1-1
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Elnaggar Ahmed,Heinzinger Michael,Dallago Christian,Rehawi Ghalia,Wang Yu,Jones Llion,Gibbs Tom,Feher Tamas,Angerer Christoph,Steinegger Martin,Bhowmik Debsindhu,Rost Burkhard

Funder

Leibniz Rechenzentrum

BMBF: Bundesministerium fuer Bildung und Forschung

DOE Office of Science User Facility

Nvidia

Deutsche Forschungsgemeinschaft

Google

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09477085.pdf?arnumber=9477085

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