Q0W0H2 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibawj5gjktipgmp36fpkrsgixqb54v6u7gglppe2tj2dftpnpba4i/metadata.json
IPFS of structure file: 
bafybeib4nj4do4qirwz4blcjuwdwwahhjkrap5bgvxczvbnou5eseoieo4/AF-Q0W0H2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCa362f979B89bC75244B26182ebf222b19Bf0036
First NFT owner address (bech32): 
genesis1egmzl9um3x782fztycvza0ez9vvm7qpku0zzqc
Current NFT ID #450833 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
450833
Accession (UniProt):
Q0W0H2
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Methanocella arvoryzae (strain DSM 22066 / NBRC 105507 / MRE50)

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 Q0W0H2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0W0H2|SYM_METAR Methionine--tRNA ligase OS=Methanocella arvoryzae (strain DSM 22066 / NBRC 105507 / MRE50) OX=351160 GN=metG PE=3 SV=1 MIEEKLMSEFPCDKPVLVTCGLPYANGSAHIGHLRTYIPADMFVRTLRMMGQETVFVCGSDAHGTPIIVNAEEQKISPRQLVDKYHVQFDSIFKKCGVIFDRYGNTDDPTNHARTKSIVSELQKNGYVYPKEIKVAYCPQCQRGLPDRYVEGVCPYCSSIARGDECDIGCQRHLEPGEILDPKCKVCGSKAEVRTQEHFFFKLSEFGDFLQEYLNTLHATPNAVNYAMEWAKELKDWCITRNLEWGVKYPGHEDLVVYVWVDAPIGYIAFTEEYAKAAGKNWEDLWKGDSRIIHFIGGDIIYHHCIFWPAMLKGAGYTLPWGVVASGMIKVNDKKFSKSRGYIVWVEDDYLAHGFHPDLLRYYILSYTSHTKDINFSWTEFQTKINKELVGSYGNFVNRVLTFIDSKGIDVKGTIDPKISSAIKTAIDMVKTEIGNYEFKKICDSIITLSDVGNTYFQSHEPWKLIKENPAACENVLFNCIQIVKALAILSEPTVPEKAKEIWGMLGYDPATLASARIDDALVPYENRPRPKPSILFTKLEDKKIAEMTKIMDERVKAAEAKLNGKKAEEELEPQLPPITIDDFAKMELRVGKVIASEKIKGSKKLLKNLIDLGEDKPRQIVSGIAEVYTPEEMVGKTVIVIANLKPTKIMGVESNGMILAADSNGATLLTVEKPSEPGTKVR