B5FMX1 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibpy3zz3deufjvj7vipfrd4gevlzfdhppesdnvf4sxqn3lrne6qt4/metadata.json
IPFS of structure file: 
bafybeida2edtar7cjy3rpi3iztctqncxexctiekp5r7ukylsbiveo6fpg4/AF-B5FMX1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA3852F65bc95D76073F33df7bD169afb0b59f1BD
First NFT owner address (bech32): 
genesis15wzj7edujhtkquln8hmm6956lv94nudamhq5ls
Current NFT ID #450951 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
450951
Accession (UniProt):
B5FMX1
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Salmonella dublin (strain CT_02021853)

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 B5FMX1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5FMX1|SYM_SALDC Methionine--tRNA ligase OS=Salmonella dublin (strain CT_02021853) OX=439851 GN=metG PE=3 SV=1 MTQVAKKILVTCALPYANGSIHLGHMLEHIQADVWVRYQRMRGHEVNFICADDAHGTPIMLKAQQLGITPEQMIGEMSQEHQTDFAGFNISYDNYHSTHSDENRELSELIYTRLKENGFIKNRTISQLYDPEKGMFLPDRFVKGTCPKCKSADQYGDNCEVCGATYSPTELIEPKSVVSGATPVMRDSEHFFFDLPSFSEMLQAWTRSGALQEQVANKMQEWFESGLQQWDISRDAPYFGFEIPNAPGKYFYVWLDAPIGYMGSFKNLCDKRGDTTSFDEYWKKDSDAELYHFIGKDIVYFHSLFWPAMLEGSHFRKPTNLFVHGYVTVNGAKMSKSRGTFIKASTWLKHFDADSLRYYYTAKLSSRIDDIDLNLEDFVQRVNADIVNKVVNLASRNAGFINKRFDGVLAAELADPQLYKTFTDAAAVIGEAWESREFGKAIREIMALADIANRYVDEQAPWVVAKQEGRDADLQAICSMGINLFRVLMTYLKPVLPTLSERVEAFLNSELNWDAIEQPLLGHKVNTFKALYNRIDMKQVEALVESSKEEVKAAAAPVTGPLADFPIQETITFDDFAKIDLRVALIENAEFVDGSDKLLRLTLDLGGEKRNVFSGIRSAYPDPQALIGRQTVMVANLAPRKMRFGVSEGMVMAAGPGGKDIFLLSPDDGAKPGQQVK