A7ZNT3 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaulstkshzr7kfweh44llzzdbidx76qbhtvpe3lgn6drod5mrwlnu/metadata.json
IPFS of structure file: 
bafybeicyitszlnxcsdojka3zeqhk2ekg4dfauphswbvym6cfxs6jkwdijm/AF-A7ZNT3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5
First NFT owner address (bech32): 
genesis1cru83slnu2scwn32dkkgp4pfu4famvx4x7nssv
Current NFT ID #450745 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450745
Accession (UniProt):
A7ZNT3
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI O139:H28 (STRAIN E24377A / ETEC)

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 A7ZNT3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7ZNT3|SYM_ECO24 Methionine--tRNA ligase OS=Escherichia coli O139:H28 (strain E24377A / ETEC) OX=331111 GN=metG PE=3 SV=1 MTQVAKKILVTCALPYANGSIHLGHMLEHIQADVWVRYQRMRGHEVNFICADDAHGTPIMLKAQQLGITPEQMIGEMSQEHQTDFAGFNISYDNYHSTHSEENRQLSELIYSRLKENGFIKNRTISQLYDPEKGMFLPDRFVKGTCPKCKSPDQYGDNCEVCGATYSPTELIEPKSVVSGATPVMRDSEHFFFDLPSFSEMLQAWTRSGALQEQVANKMQEWFESGLQQWDISRDAPYFGFEIPNAPGKYFYVWLDAPIGYMGSFKNLCDKRGDSVSFDEYWKKDSTAELYHFIGKDIVYFHSLFWPAMLEGSNFRKPTNLFVHGYVTVNGAKMSKSRGTFIKASTWLNHFDADSLRYYYTAKLSSRIDDIDLNLEDFVQRVNADIVNKVVNLASRNAGFINKRFDGVLASELADPQLYKTFTDAAEVIGEAWESREFGKAVREIMALADLANRYVDEQAPWVVAKQEGRDADLQAICSMGINLFRVLMTYLKPVLPKLTERAEAFLNTELTWDGIQQPLLGHKVNPFKALYNRIDMKQVEALVEASKEEVKAAAAPVTGPLADDPIQETITFDDFAKVDLRVALIENAEFVEGSDKLLRLTLDLGGEKRNVFSGIRSAYPDPQALIGRHTIMVANLAPRKMRFGISEGMVMAAGPGGKDIFLLSPDAGAKPGHQVK