Top Tweets for #ProtNLM

almost 4 years ago

@CrisprMemes @MartinPacesa @dmdohan 1/ Certainly, it could be related homologs! In the case of A0A2Z4IEP2, a length-478 #ProtNLM-predicted Cas9 homolog, a strong structural match for Nme1Cas9 pdb structure 6KC8 across the first ~500 residues of that structure

Zoubin Ghahramani

@ZoubinGhahrama1

almost 4 years ago

@GoogleAI and @emblebi release 40 million annotations of previously uncharacterized proteins in the UniProt database! The #ProtNLM natural language model that generated these high accuracy functional annotations will advance biology and medicine. Congrats to the teams involved!

EMBL-EBI @emblebi

almost 4 years ago

Ever got a result back saying uncharacterised protein? 😩 @uniprot and @GoogleAI have teamed up to create a natural language processing model that has generated over 40 million protein annotations to address this challenge. https://t.co/0AE1AIa3E1

emblebi's tweet photo. Ever got a result back saying uncharacterised protein? 😩

@uniprot and @GoogleAI have teamed up to create a natural language processing model that has generated over 40 million protein annotations to address this challenge.

https://t.co/0AE1AIa3E1 https://t.co/HQIoTIir8d

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