A1K3J8 AF NFT

Glycine--tRNA ligase beta subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid26masonlkdky64e7x62r4wwhrlk6hsbqo7d5ppvjuxkenm472ie/metadata.json
IPFS of structure file: 
bafybeibjgzqd35dqt3j2cqfl6rdws4rdzorx7ag4egpm6v2rbzk77lctwa/AF-A1K3J8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #447557 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
447557
Accession (UniProt):
A1K3J8
Name::
Glycine--tRNA ligase beta subunit
Experimental Method:
Predicted structure
Sequence source:
Azoarcus sp. (strain BH72)

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 A1K3J8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1K3J8|SYGB_AZOSB Glycine--tRNA ligase beta subunit OS=Azoarcus sp. (strain BH72) OX=418699 GN=glyS PE=3 SV=1 MTANTLLVELLTEELPPKALPRLGETFATKIAEGLKARGLAAADGAFRWFASPRRIAITMAGVAAEAAAKEVTEKLMPVAVALDADGKPTPALLKKMEAKGIPASAVPAFERRMDGKAEALFHTAVVPGARLAEVLAAIVHDAVKALPIPKVMRWGDGDATFVRPVHKLVMLHGAEVVPGRVLDLDAGRSTRGHRFMSRGEIDIATADAYEPTLLAEGKVVPDFAERRADIERQLLAEAARLGAQLDDYTDLLDEVTALVEHPTVYVGEFEAEFLAVPQECLILTMRANQKYFPLFDAAGKLQNRFLIVSNMRMEDPVNIVTGNARVVRPRLSDARFFFETDKKHKLDSRLPRLANVVYHNKLGSVLERVERLEALAGKIAARLGSDEAAARRAARLAKADLVSEMVGEFPELQGIMGRYYALHDGEGAVVADAVQAHYQPRFAGDALPAGNVAAAVALADKLDALVGFFGIGMVPTGDKDPFALRRAALGVLRILMEAPLPLDLAALVADAAAGFKPGLLTADGFQAQLLDFMRERLKNLLRESGGEVAAIDAVLALAPTRIDLVPAKLAAVEAFRALPEAEALAAANKRIVNILKKAEGAPGEPDVALLQEDAEKALFHRVIEIAPLVKSHVANEDYTDALCVLAGLRAEVDAFFDGVMVMAEEPLTRQNRLALLAQLAGLMNQVADISRLSA