Q5JGC8 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia6kbd6xjsptzja6inytwo3cxsjjn2we3w3u7ut4gv4qi2u3b3xhm/metadata.json
IPFS of structure file: 
bafybeiemyfdlttrtfd7gd2a5rul7sm2dpdetd4yaais6vbqrsbu4dgsgtq/AF-Q5JGC8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #454721 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454721
Accession (UniProt):
Q5JGC8
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
THERMOCOCCUS KODAKARENSIS (STRAIN ATCC BAA-918 / JCM 12380 / KOD1)

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 Q5JGC8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5JGC8|SYT_THEKO Threonine--tRNA ligase OS=Thermococcus kodakarensis (strain ATCC BAA-918 / JCM 12380 / KOD1) OX=69014 GN=thrS PE=3 SV=1 MRMLLIHSDYLEYEVKDKALKNPEPISDEQKTGRLDEVLAVFISVEKVDETNPDEVVEKAVKEIEDVASQIKAERIFVYPFAHLSSELAKPDVALEVLRKIEEKLREKGYEVKRAPFGYYKAFKLSCKGHPLAELSRTIVPEKAVSKEERNIALEKEEKELKSYWYILTPEGELIDVDKFDFTGHENLKKFVNYEIAKNRVADREPPHVRLMLEQELVDYEPGSDAGNLRYYPKGRLIKSLLEQYVTEKVIEYGAMEVETPIMYDFEHPALEKYLNRFPARQYVVKSGDKKFFLRFAACFGQFLIKKDATISYRNLPLRMYELTRYSFRREKSGELSGLRRLRAFTMPDMHTVARDLKQAMDEFKKQYKLSMEVLKGVGLTPEDYEVAIRFTRDFWEQNRDFIVELAKIIGKPVLIEMWDQRFFYFILKFEFNFVDNLDKAAALSTVQIDVENAERFGIKYYDEEGKERTPLILHCSPSGAIERVMYAILEKQAKLQEKGIKPMYPLWLSPIQVRVIPVSDEVMDYALYVAGKLEGAKIRVDVDDTGDRLNKKIRKAEKEWIPYIIVVGRNEKEQNTVTVRRRSDGRQVEMQLEDLIREIKGQTEGFPYKPRPLPLLLSRRPKFRG