Q3IRL7 AF NFT

Lysine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiallwj5bdmlvaawiqojdori7snryatvtoblsd5tjmlgntxwcuic3m/metadata.json
IPFS of structure file: 
bafybeicnnuxo6cutaiuimid2wr2vc3ssrmvh755o4padjztpnp3qe27zoy/AF-Q3IRL7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #449527 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
449527
Accession (UniProt):
Q3IRL7
Name::
Lysine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Natronomonas pharaonis (strain ATCC 35678 / DSM 2160 / CIP 103997 / JCM 8858 / NBRC 14720 / NCIMB 2260 / Gabara)

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 Q3IRL7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3IRL7|SYK_NATPD Lysine--tRNA ligase OS=Natronomonas pharaonis (strain ATCC 35678 / DSM 2160 / CIP 103997 / JCM 8858 / NBRC 14720 / NCIMB 2260 / Gabara) OX=348780 GN=lysS PE=3 SV=1 MSDLYDLGTGEKRPFWADAAADEVEARDPDEPVTIKGGVSPSGVPHLGHFNEIMRGYFVAEALRERGYEVRQVFTTDDKDRLRKLPRKLADLDWNVVGLGEVDAGALGRNLGRPYTDIPDPFGCCDSYGAHFTELLRRSAEAIGVPIDLVSNTELYAGGDFDAAVEDALANRDTAREVLSEFQDKVDDEYVPFFPQCAECGLLTETVTDIDLDDGTVGYVCSDVEAGDDVIEGCGHEGRATFRAGKLPWRFEWPAQWRVLGVDFEPFGKDHAEGSWPSGKAVSREVFDTEPPVPMVYEWFTLNGDALSSSAGNIITVDEVLELLEPAVLRYFFTKNPKKQRDFDVSNLDRFVDEFDRFEAGYFGDESVEDDERARADRAYPMVVDELPERQPVRIPYTFAAVLGMTDDRDLRLQMAQRSGHIPDDATDDQIERALERVEKARAWAVRTDNEFNYRLAETLPAVDFDAETAAALDELAAFVETESPDDETLQGEIYETAKRNDVDVGDLFSAGYRLFLDESEGPRLGPLLSAMDETFVVERLRREG