C5CA60 AF NFT

Arginine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmoojjc7ufcni7dm3z5rumkkydnnmebvwhe4l6grgklv3gc43274/metadata.json
IPFS of structure file: 
bafybeibe244j4arn6i4t3lizsq4szogypqft2m2oettqxg47mf2cuaoppq/AF-C5CA60-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa13B98679bfC35227A43337E7Ca558F949C4B5e4
First NFT owner address (bech32): 
genesis15yaeseumls6jy7jrxdl8ef2cl9yufd0ytwsgse
Current NFT ID #452837 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
452837
Accession (UniProt):
C5CA60
Name::
Arginine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Micrococcus luteus (strain ATCC 4698 / DSM 20030 / JCM 1464 / NBRC 3333 / NCIMB 9278 / NCTC 2665 / VKM Ac-2230)

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 C5CA60 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5CA60|SYR_MICLC Arginine--tRNA ligase OS=Micrococcus luteus (strain ATCC 4698 / DSM 20030 / JCM 1464 / NBRC 3333 / NCIMB 9278 / NCTC 2665 / VKM Ac-2230) OX=465515 GN=argS PE=3 SV=1 MKPEDLSALLSAVLTDAVDAGDLPAALREGITPARVKVERPRSREHGDWATNVALQLGKKAGMAPRDLAGLVAERLTGKPGIAAVDVAGPGFLNVTLDAASAGALAREIVEAGPEYGRNDTLAGHTVNMEFVSANPTGPLHIGHTRWAALGDAIARLLRASGADVTAEYYVNDAGNQMNVFADSVLARLHGRDVPAGGYPGAYVQELADAVALEHPDVRELTDEAARPVVREAAYRLQMQDIKDTLAAFDVHFDVFTSEQTLHDSGAIDQAVQRLREQGHIEDREGAVWLKTTDFGDDKDRVLIRANGEPTYFAADAAYYLHKRDRGFEEKVYLLGADHHGYVNRLKAIAAAAGDDPATNIEILIGQLISVNGAKLSKRAGNIIELKDLVEWLGRDALRYDLARYPADSPLTIDPELLRSATNDNPVYYVQYAHARASGAARTAQAHGVDRSEFDAALLTHATESELLAQLAEFPAVVAAAARLREPHRVTRHLEVIAGAYHSWYAACRIVPMPTDDGTPRPVETLNRTRLWLNDATAQVLANGLGLLGVSAPEKM