Q7MM14 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifknnkyiugvelhpbjb3kx3nkp7cnbssr3fn33nwamhlnhur3tkbae/metadata.json
IPFS of structure file: 
bafybeihpitk7anr3hdeyc4q5jdrkxvr2ovr6tdhqrjak4bi7gyv3iu6a2e/AF-Q7MM14-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8DA3aeb7A75914AFC2aD05F3CB4ab24952F19911
First NFT owner address (bech32): 
genesis13k36ada8ty22ls4dqheukj4jf9f0rxg3lcyshp
Current NFT ID #451041 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
451041
Accession (UniProt):
Q7MM14
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Vibrio vulnificus (strain YJ016)

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 Q7MM14 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7MM14|SYM_VIBVY Methionine--tRNA ligase OS=Vibrio vulnificus (strain YJ016) OX=196600 GN=metG PE=3 SV=1 MANDPRNFPQRKLLVTCALPYANGSIHLGHMLEHIQADIWVRYQRLRGNIVNFICADDAHGTPIMLKAQQMGMSPEEMIAAVSIEHQKDFAGFDISFDNYHSTHSDENRELASHIYLQLKKNGFISSRTISQLFDPEKEMFLPDRFVKGTCPKCKSEDQYGDNCDACGETYSPTELINPKSAVSGATPVMKDSEHFFFDLPQFESMLKEWTRSGSLQTETANKMQEWFESGLQQWDISRDAPYFGFEIPGEKDKFFYVWLDAPIGYMGSFKNLCDKRDDLDFDEYWNKDSKTELYHFIGKDIVYFHSLFWPAMLDGSGFRKPNNVFVHGYVTVNGAKMSKSKGTFVKASTYLEHLDPECLRYYYAAKLNSRIDDLDLNLEDFTQRVNADVVNKIVNLASRNAGFIAKRFEGKLAENFVEPELYNEFVAAADRIAELYEAREFGRAIREITALADKANQYVDEKAPWVVAKQEGKDQELQEICSVGINLFRVLMTYLKPVMPALAARTEAFLNEELTWEGVAQPLTAHEITAFKALFNRIDPKNIEAMIEASKEDAAAEMAAKEKAEASNAAQETELSKDPIAEEIEFDDFAKVDLRIAKIVSCESVPKADKLLKFQLDIGGEMRQVFSGIKAAYNPEDLVGKYTVVVANLKPRKMKFGMSEGMILAAGPGGKDLWILEPHEGAQPGMRVM