P35868 AF NFT

Arginine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5oy6w34zbmfjzdxo55oca7rfwgrpxq2jxb5cuxq3qaunyjhdvqi/metadata.json
IPFS of structure file: 
bafybeicatl3i7ut2zbtulljgyg4yus547rgclmsg63n5awnawlecjicgu4/AF-P35868-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x34B5ce37c140674b5ED7fE960C17FF750dba5B1D
First NFT owner address (bech32): 
genesis1xj6uud7pgpn5khkhl6tqc9llw5xm5kca6y7zuw
Current NFT ID #452635 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
452635
Accession (UniProt):
P35868
Name::
Arginine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025)

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 P35868 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P35868|SYR_CORGL Arginine--tRNA ligase OS=Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025) OX=196627 GN=argS PE=2 SV=2 MTPADLATLIKETAVEVLTSRELDTSVLPEQVVVERPRNPEHGDYATNIALQVAKKVGQNPRDLATWLAEALAADDAIDSAEIAGPGFLNIRLAAAAQGEIVAKILAQGETFGNSDHLSHLDVNLEFVSANPTGPIHLGGTRWAAVGDSLGRVLEASGAKVTREYYFNDHGRQIDRFALSLLAAAKGEPTPEDGYGGEYIKEIAEAIVEKHPEALALEPAATQELFRAEGVEMMFEHIKSSLHEFGTDFDVYYHENSLFESGAVDKAVQVLKDNGNLYENEGAWWLRSTEFGDDKDRVVIKSDGDAAYIAGDIAYVADKFSRGHNLNIYMLGADHHGYIARLKAAAAALGYKPEGVEVLIGQMVNLLRDGKAVRMSKRAGTVVTLDDLVEAIGIDAARYSLIRSSVDSSLDIDLGLWESQSSDNPVYYVQYGHARLCSIARKAETLGVTEEGADLSLLTHDREGDLIRTLGEFPAVVKAAADLREPHRIARYAEELAGTFHRFYDSCHILPKVDEDTAPIHTARLALAAATRQTLANALHLVGVSAPEKM