Q9VXN4 AF NFT

Probable arginine--tRNA ligase, cytoplasmic

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidrcjw3dd62ymlozturgfw3h6tsecyszleacvvubvjkqwxlvnmxsi/metadata.json
IPFS of structure file: 
bafybeiho7r3hp6klu5hvr6vz26shjrfieyiuztdx7neezjlzcz6xcoiify/AF-Q9VXN4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB6a282F34B389c8F93d7740Ec39199b618a658B3
First NFT owner address (bech32): 
genesis1k63g9u6t8zwgly7hws8v8yvekcv2vk9nxwzr3s
Current NFT ID #452440 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
452440
Accession (UniProt):
Q9VXN4
Name::
Probable arginine--tRNA ligase, cytoplasmic
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VXN4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VXN4|SYRC_DROME Probable arginine--tRNA ligase, cytoplasmic OS=Drosophila melanogaster OX=7227 GN=ArgRS PE=2 SV=1 MSELNMELKKLRELELKTQGLAARIQTAKSGEQLDVDLVQLQIENKKLKNRLFILKKSIAEESTAAGGDVSKPKESSSITEHLESVFRQAIASAFPEFRDTPVIIAPVNSTSAKFGDYQCNNAMGLSKKLKEKGINKAPRDIATELKGHCPASPIIEKLEIAGAGFVNVFLSKDYASLALSNLLRNGVKPPEVIKKRVLVDFSSPNIAKQMHVGHLRSTIIGESLCRLLEFLQHDVIRINHLGDWGTQFGMLIAHLEDRFPNYLNESPPISDLQLFYKESKKRFDEDEEFKKRAYSRVVSLQKGVPNSIKAWELICNVSRKEFQTIYERLDISVKERGESFYQSRMLSVVEYLRGKGLLEVDEGREIMWPDDTKTGIPLTIVKSDGGFTYDTSDMAAIRHRLEEELCDWIIYVVDSGQSTHFNTIFKAAERSAILNPLSHRVDHVQFGVVLGEDGKKFKTRSGDTVKLSDLLDEGMKRSLQQLESRGRDKVLTPQELKDAQESLAYGCIKYSDLCHNRISDYIFSFDKMLEDRGNTAVYLLYTYTRICSIARNSGEDFTNLPEILKKTNIVLDHEKEWKLAKTLLKLHDILIKCSKELFLHFLCEFCFEVCTVFTEFYDSCYCIEKNKQGDIIGVNHSRILLCEATAAVLRQCFYILGLKPVSKM