Q89KR6 AF NFT

Glutamine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamqsonko554u3or2baa3jvdsnq72dnge3vt34nju2om4xf4pth6q/metadata.json
IPFS of structure file: 
bafybeib4sum2c5mfguq3rckrhgijdnnwoid45aau6webjgbhass7bpnur4/AF-Q89KR6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0863fEad1214c1119e47Ea37B2261C4D2e7B0c9b
First NFT owner address (bech32): 
genesis1pp3latgjznq3r8j8agmmyfsuf5h8krymswf6ln
Current NFT ID #452280 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
452280
Accession (UniProt):
Q89KR6
Name::
Glutamine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
BRADYRHIZOBIUM DIAZOEFFICIENS (STRAIN JCM 10833 / BCRC 13528 / IAM 13628 / NBRC 14792 / USDA 110)

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 Q89KR6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q89KR6|SYQ_BRADU Glutamine--tRNA ligase OS=Bradyrhizobium diazoefficiens (strain JCM 10833 / BCRC 13528 / IAM 13628 / NBRC 14792 / USDA 110) OX=224911 GN=glnS PE=3 SV=1 MTEPVAAEVGRDFIRDIIQADLDQAKYREIVTRFPPEPNGYLHIGHAKSIALNFGIAQEFPGRCHLRFDDTNPVKEEQEYIDSIQADVHWLGFDWGKNLFFASDYFDRLYEWAETLIRDGLAYVDDQTQEEIRTSRGTLTEPGKNSPFRDRSVDENLDLFRRMKAGEFPNGARVLRAKIDMAAGNINLRDPVLYRILHAHHPRTGNAWCIYPSYDYAHGQSDAIEGITHSICTLEFEDHRPLYDWFIEKLPVPSKPHQYEFARLNLTYTLLSKRVLTQLVREGHVAGWDDPRMPTMAGMRRRGVPPAALREFVKRIGVAKANSVVDVGMLEFCIREELNRTAQRRMAVLKPLKVVIENYPEGQTEELEAINHPDDPSAGTRKITFGRELYIEQDDFMENPPKKFFRLSPGNEVRLRYAYFVKCTGVIKNESGEVVELRCTYDPATRGGNAPDGRKVKATMHWLSAAASKPAEIRIYNQLFANPSPDASNFAADLNPQSLEILSNARVEASVAESNSTEPMQFERQGYFVRDKDSTPGKPVFSRTIGLRDTFAKEVAKG