Q66C72 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiefyuxqiuo6fnf4k3dgkvajt7d25ug44lbuc2qfozsljrtntr6fj4/metadata.json
IPFS of structure file: 
bafybeifyor7pnwoetfed6f37of3yzqbuge5khoywzmxyaergl3ystp3dzi/AF-Q66C72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5b999158Ec64F04a963E02A3C93E4E230E1B93C5
First NFT owner address (bech32): 
genesis1twvezk8vvncy4937q23uj0jwyv8phy79t6m65l
Current NFT ID #451063 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
451063
Accession (UniProt):
Q66C72
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66C72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66C72|SYM_YERPS Methionine--tRNA ligase OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=metG PE=3 SV=1 MAQVAKKILVTCALPYANGSIHLGHMLEHIQADIWVRFQRMRGNQVHFICADDAHGTPIMLKAQQMGIEPEQMIAEMSQEHQQDFAGFAISYDNYHSTHSDENRELSSLIYGRLKANGYIKNRTISQLYDPEKGMFLPDRFVKGTCPKCKAPEQYGDNCEVCGATYSPTELIDPKSAVSGATPVMRESEHFFFDLPAFSDMLQAWTRSGALQEQVANKMQEWFDSGLQQWDITRDAPYFGFEVPDAPGKYFYVWLDAPIGYMGAFKNLCDKRGDLDFDEFWGKDAKTDLYHFIGKDIVYFHSLFWPAMLEGSNFRKPTNLFVHGYVTVNGAKMSKSRGTFIKAGTYLKYLDADCLRYYYAAKLSSRIDDIDLNLEDFVQRVNADIVNKVVNLASRNAGFINKRFAGQLADQLADPVLYKTFTDAATSIADAYNNRESGKAIREIMALADVANRYVDEQAPWVVAKQEGHDADLHAICSMGINLFRVLMTYLKPVLPSLTERTEAFLNTELTWDSIEQPLLGHSITAFKALFNRIDLDKVNEMVASSKEDMAPATRVTGPLADDPIQETISFDDFAKVDMRIALIQQAEFVEGSDKLLKLTLELGGETRQIFSGIRSAYPDPKALEGRMTVMVANLAPRKMRFGVSEGMVMTAGPGGSDIFLLSPDSGAQPGMQVK