A0ALP7 AF NFT

Arginine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeialohdmobh2pifvcwawtbtmwqf5jn4ghv57igu3ulwrenfkio6vfm/metadata.json
IPFS of structure file: 
bafybeigqrcszrbkfmndueuk5s65fvhfd6gxya2gz2olxnds3kijhafpx7q/AF-A0ALP7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #452799 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
452799
Accession (UniProt):
A0ALP7
Name::
Arginine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Listeria welshimeri serovar 6b (strain ATCC 35897 / DSM 20650 / CIP 8149 / NCTC 11857 / SLCC 5334 / V8)

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 A0ALP7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0ALP7|SYR_LISW6 Arginine--tRNA ligase OS=Listeria welshimeri serovar 6b (strain ATCC 35897 / DSM 20650 / CIP 8149 / NCTC 11857 / SLCC 5334 / V8) OX=386043 GN=argS PE=3 SV=1 MNVMQENQIKLIEHIKQAVVQAVGLPEVEVPEILLEVPKDKKHGDYSTNIAMQLARVAKKAPRQIAESIVPELKKDNKLIKEVEIAGPGFINFYLDNAYLTELVPVILTEDHKYGESDFGKGEKFQIEFVSANPTGDLHLGHARGAAIGDSLANIMKMAGFDVSREYYINDAGNQINNLVLSAEARYFEALGLESEFPEDGYRGADIISLGKDLAAKYGDKYVNTSEEERRSVFRVDALAFETGKLRADLEEFRVSFDEWFSETSLYEENKVLPALERLRENGYIYEQDGATWLRTTDFEDDKDRVLIKSDGSYTYFLPDIAYHLNKLERGFDVLIDIWGADHHGYIPRMRAAIEALGYSPNQLEVEIIQLVHLFEDGVQVKMSKRTGKSVTMRDLIEEVGLDATRYFFAMRSSDTHMNFDMSLAKSTSNDNPVYYVQYAHARISSILRSGKEQGLEVTKDADMSLLQTEAEYDLLKVLGEFADVVAEAAAKRAPHRIVRYLNDLATAFHRFYNSNKVLDMDNLEVTQARLSLIKTAQITLRNGLTLLGVSAPEKM