Q8D8F2 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawysck2wvd2lsxhatbxtsjbdg2z4jio5vfyhafwamwx7h2rvhysm/metadata.json
IPFS of structure file: 
bafybeiel46xvsbosnmxjk7pg3qiyfu5ueirayebkf2lj7tx3tba7evz3lm/AF-Q8D8F2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6154deB236274613b612033257012c25F7431808
First NFT owner address (bech32): 
genesis1v92dav3kyarp8dsjqve9wqfvyhm5xxqg0mu3x8
Current NFT ID #451040 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
451040
Accession (UniProt):
Q8D8F2
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
VIBRIO VULNIFICUS (STRAIN CMCP6)

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 Q8D8F2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8D8F2|SYM_VIBVU Methionine--tRNA ligase OS=Vibrio vulnificus (strain CMCP6) OX=216895 GN=metG PE=3 SV=2 MANDPRNFPQRKLLVTCALPYANGSIHLGHMLEHIQADIWVRYQRLRGNIVNFICADDAHGTPIMLKAQQMGMSPEEMIAAVSIEHQKDFAGFDISFDNYHSTHSDENRELASHIYLQLKKNGFISSRTISQLFDPEKEMFLPDRFVKGTCPKCKSEDQYGDNCDACGETYSPTELINPKSAVSGATPVMKDSEHFFFDLPQFESMLKEWTRSGSLQTETANKMQEWFESGLQQWDISRDAPYFGFEIPGEKDKFFYVWLDAPIGYMGSFKNLCDKRDDLDFDEYWNKDSKTELYHFIGKDIVYFHSLFWPAMLDGSGFRKPNNVFVHGYVTVNGAKMSKSKGTFVKASTYLEHLDPECLRYYYAAKLNSRIDDLDLNLEDFTQRVNADVVNKIVNLASRNAGFIAKRFEGKLAENFVEPELYNEFVAAADRIAELYEAREFGRAIRELTALADKANQYVDEKAPWVVAKQEGKDQELQEICSVGINLFRVLMTYLKPVMPALAARTEAFLNEELTWEGVAQPLTAHEITAFKALFNRIDPKNIEAMIEASKEDAAAEMAAKEKAEASNAAQETELSKDPIAEEIEFDDFAKVDLRIAKIVSCESVPKADKLLKFQLDIGGEMRQVFSGIKAAYNPEDLVGKYTVVVANLKPRKMKFGMSEGMILAAGPGGKDLWILEPHEGAQPGMRVM