Q1JD10 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigqsivanem4jsqfzayhucvp2baa35fxxom2o755abmwix5fwt3oyu/metadata.json
IPFS of structure file: 
bafybeihkp2ap5tn2ftzi3tzau6ezr3k5dq4wznbq7fayl2pjzpjyto3x2q/AF-Q1JD10-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #454682 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454682
Accession (UniProt):
Q1JD10
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M12 (strain MGAS2096)

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 Q1JD10 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1JD10|SYT_STRPB Threonine--tRNA ligase OS=Streptococcus pyogenes serotype M12 (strain MGAS2096) OX=370553 GN=thrS PE=3 SV=1 MIKITFPDGAVREFESGVTTFDIAESISKSLAKKALAGKFNDQLIDTTRAIEEDGSIEIVTPDHKDAYEVLRHSAAHLFAQAAKRLFPNLHLGVGPAIAEGFYYDTDNAEGQISNEDLPRIEAEMQKIVTENYPCIREEVTKEEALELFKDDPYKVELINEHAGAGLTVYRQGEFVDLCRGPHVPSTGRIQVFHLLNVAGAYWRGNSDNNMMQRIYGTAWFDKKDLKAYLTRLEEAKERDHRKLGKELDLFMISQEVGQGLPFWLPDGATIRRTLERYITDKELASGYQHVYTPPLASVELYKTSGHWDHYQEDMFPVMDMGDGEEFVLRPMNCPHHIQVYKNHVRSYRELPIRIAELGMMHRYEKSGALSGLQRVREMTLNDGHIFVTPEQIQEEFQRALQLIIDVYADFNLTDYRFRLSYRDPNDTHKYYDNDEMWENAQSMLKAALDEMGVDYFEAEGEAAFYGPKLDIQVKTALGNEETLSTIQLDFLLPERFDLKYIGADGEEHRPVMIHRGVISTMERFTAILIETYKGAFPTWLAPHQVTVIPISNEAHIDYAWEVAKTLRDRGVRADVDDRNEKMQYKIRASQTSKIPYQLIVGDKEMEDKSVNVRRYGSKATHTESVEEFVENILADIARKSRPDAQA