Q8SR40 AF NFT

Probable glycerol-3-phosphate dehydrogenase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib52jt5r5rxbxjutdkhvbdcu55wyamz2etafdrvqndpl6id3b67fy/metadata.json
IPFS of structure file: 
bafybeiafnyulaxbs2naummrgg7pxrwilcqylof7rfwwpfkibiwx5rlc52i/AF-Q8SR40-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x357494D6985DbB6d0e40B74Bc031C05d59768EB4
First NFT owner address (bech32): 
genesis1x46ff45ctkak6rjqka9uqvwqt4vhdr454nlcmk
Current NFT ID #156077 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
156077
Accession (UniProt):
Q8SR40
Name::
Probable glycerol-3-phosphate dehydrogenase
Experimental Method:
Predicted structure
Sequence source:
ENCEPHALITOZOON CUNICULI (STRAIN GB-M1)

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 Q8SR40 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8SR40|GPDH_ENCCU Probable glycerol-3-phosphate dehydrogenase OS=Encephalitozoon cuniculi (strain GB-M1) OX=284813 GN=ECU10_0870 PE=3 SV=1 MLVALVVLFLSVFMAMKFLYKRIFVASRLKMIEKPSEDWEPASREAMIERLRSEVFDLVVVGGGSTGAGCALDGATRGLKVALVDAGDFGSGTSSKSTKLVHGGVRYLAKAVSNLDWSQYKLVWQALGERTTMFEISPYLTNSIKIMVPIYSKILIPYYYVGLKLYDWISGFKSLGKSYFIDRKEAVDAFPHINKKNLCGAMVYFDGQQDDARNNVMIVMTAVCHGAVAANHVSARSLMIEGGKIVGVRCRDEITGSEIEIRGTGVINSTGNLADDLRRMDDADAREIIVQSSGTHIVIPKEYAPKEMGFLDPLTSDNRIAFFMPWMGKTIVGSTDIKTKTELSPSPTEEDLEFLIHEVQAYTSMHPKLTRDEVSAVWTGIRPLVKDPDVSDTGSIVRKHFVRIEKNGLLTVTGGKWTIYRKMAEDAIDLAISAFSLKPSGPCVTKYVRILGGDGYTKNTWASIQKELGVPKNVAERLARSYGTRALRLSSYIKKNRKKVLSVKYSYLIEEVEYCIDNEMAVKVCDVLCNRLMIGLMDVKEAYQCIDKVLGVFKKKHGWDADRCNREEADAIRMLDKYGLQILRGCGQDASSLQMECPEEKRHRGERRLPPQEK