Q0T324 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihffj4tpomh2ns25re5hdxllsq6n75nimzk7mbohmum7ozi4y2kfy/metadata.json
IPFS of structure file: 
bafybeiatspfowlusocfpn33mneufxultp66bwda7elggiwmdr6tlz3zh7y/AF-Q0T324-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #450987 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450987
Accession (UniProt):
Q0T324
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Shigella flexneri serotype 5b (strain 8401)

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 Q0T324 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0T324|SYM_SHIF8 Methionine--tRNA ligase OS=Shigella flexneri serotype 5b (strain 8401) OX=373384 GN=metG PE=3 SV=1 MTQVAKKILVTCALPYANGSIHLGHMLEHIQADVWVRYQRMRGHEVNFICADDAHGTPIMLKAQQLGITPEQMIGEMSQEHQTDFAGFNISYDNYHSTHSEENRQLSELIYSRLKENGFIKNRTISQLYDPEKGMFLPDRFVKGTCPKCKSPDQYGDNCEVCGATYSPTELIEPKSVVSGATPVMRDSEHFFFDLPSFSEMLQAWTRSGALQEQVANKMQEWFESGLQQWDISRDAPYFGFEIPNAPGKYFYVWLDAPIGYMGSFKNLCDKRGDSVSFDEYWKKDSTAELYHFIGKDIVYFHSLFWPAMLEGSNFRKPTNLFVHGYVTVNGAKMSKSRGTFIKASTWLNHFDADSLRYYYTAKLSSRIDDIDLNLEDFVQRVNADIVNKVVNLASRNAGFINKRFDGVLASELADPELYKTFTDAAEVIGEAWESREFGKAVREIMALADLANRYVDEQAPWVVAKQEGRDADLQAICSMGINLFRVLMTYLKPVLPKLTERAEAFLNTELTWDGIQQPLLGHKVNPFKALYNRIDMKQVEALVEASKEEVKATTAPVTGPLADDPIQETITFDDFAKVDLRVALIENAEFVEGSDKLLRLTLDLGGEKRNVFSGIRSAYPDPQALIGRHTIMVANLAPRKMRFGISEGMVMAAGPGGKDIFLLSPDAGAKPGHQVK