Q1JMY5 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieuuittowuvm52akbgh62ajwopyum5jcgin2izfe5xwq7awwwdrs4/metadata.json
IPFS of structure file: 
bafybeia5v7ltx2j6xt275biafhkqmowezze2b6a3e3g6qiwb5ssvwrqqnm/AF-Q1JMY5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8ed25CF7166D65bDC663E5A5EF1cEb140cBB38E5
First NFT owner address (bech32): 
genesis13mf9eackd4jmm3nrukj7788tzsxtkw89rltz8l
Current NFT ID #454683 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454683
Accession (UniProt):
Q1JMY5
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M12 (strain MGAS9429)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q1JMY5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1JMY5|SYT_STRPC Threonine--tRNA ligase OS=Streptococcus pyogenes serotype M12 (strain MGAS9429) OX=370551 GN=thrS PE=3 SV=1 MIKITFPDGAVREFESGVTTFDIAESISKSLAKKALAGKFNDQLIDTTRAIEEDGSIEIVTPDHKDAYEVLRHSAAHLFAQAAKRLFPNLHLGVGPAIAEGFYYDTDNAEGQISNEDLPRIEAEMQKIVTENYPCIREEVTKEEALELFKDDPYKVELINEHAGAGLTVYRQGEFVDLCRGPHVPSTGRIQVFHLLNVAGAYWRGNSDNNMMQRIYGTAWFDKKDLKAYLTRLEEAKERDHRKLGKELDLFMISQEVGQGLPFWLPDGATIRRTLERYITDKELASGYQHVYTPPLASVELYKTSGHWDHYQEDMFPVMDMGDGEEFVLRPMNCPHHIQVYKNHVRSYRELPIRIAELGMMHRYEKSGALSGLQRVREMTLNDGHIFVTPEQIQEEFQRALQLIIDVYADFNLTDYRFRLSYRDPNDTHKYYDNDEMWENAQSMLKAALDEMGVDYFEAEGEAAFYGPKLDIQVKTALGNEETLSTIQLDFLLPERFDLKYIGADGEEHRPVMIHRGVISTMERFTAILIETYKGAFPTWLAPHQVTVIPISNEAHIDYAWEVAKTLRDRGVRADVDDRNEKMQYKIRASQTSKIPYQLIVGDKEMEDKSVNVRRYGSKATHTESVEEFVENILADIARKSRPDAQA