Q17574 AF NFT

Methionine synthase reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid7ivejtivp6u3vrsungyw7koyngzcmm66a6flhp2jiqctv45iseu/metadata.json
IPFS of structure file: 
bafybeidaye3vwzvsd3ynoqw2wjpxmvhftu3d6ieh55p4nswpqsjut5v3di/AF-Q17574-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC6d8e444559A33e69442429BC602d8aa0284A033
First NFT owner address (bech32): 
genesis1cmvwg3z4nge7d9zzg2duvqkc4gpgfgpnr4p4gh
Current NFT ID #248995 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
248995
Accession (UniProt):
Q17574
Name::
Methionine synthase reductase
Experimental Method:
Predicted structure
Sequence source:
CAENORHABDITIS ELEGANS

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 Q17574 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17574|MTRR_CAEEL Methionine synthase reductase OS=Caenorhabditis elegans OX=6239 GN=mtrr-1 PE=3 SV=1 MTDFLIAFGSQTGQAETIAKSLKEKAELIGLTPRLHALDENEKKFNLNEEKLCAIVVSSTGDGDAPDNCARFVRRINRNSLENEYLKNLDYVLLGLGDSNYSSYQTIPRKIDKQLTALGANRLFDRAEADDQVGLELEVEPWIEKFFATLASRFDISADKMNAITESSNLKLNQVKTEEEKKALLQKRIEDEESDDEGRGRVIGIDMLIPEHYDYPEISLLKGSQTLSNDENLRVPIAPQPFIVSSVSNRKLPEDTKLEWQNLCKMPGVVTKPFEVLVVSAEFVTDPFSKKIKTKRMITVDFGDHAAELQYEPGDAIYFCVPNPALEVNFILKRCGVLDIADQQCELSINPKTEKINAQIPGHVHKITTLRHMFTTCLDIRRAPGRPLIRVLAESTSDPNEKRRLLELCSAQGMKDFTDFVRTPGLSLADMLFAFPNVKPPVDRLIELLPRLIPRPYSMSSYENRKARLIYSEMEFPATDGRRHSRKGLATDWLNSLRIGDKVQVLGKEPARFRLPPLGMTKNSAGKLPLLMVGPGTGVSVFLSFLHFLRKLKQDSPSDFVDVPRVLFFGCRDSSVDAIYMSELEMFVSEGILTDLIICESEQKGERVQDGLRKYLDKVLPFLTASTESKIFICGDAKGMSKDVWQCFSDIVASDQGIPDLEAKKKLMDLKKSDQYIEDVWG