Q7UMW2 AF NFT

Bifunctional enzyme CysN/CysC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeift35io4suyzuuc7lm6c6yrms6st5a3ynre4epshmpmfl4ngsrtyy/metadata.json
IPFS of structure file: 
bafybeid3dbgorrqxvwzhp4h4p4pkt5rahogzvzhs72qmvgb6t2z5vwmzdq/AF-Q7UMW2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4b23d56FC7F6F40283107A6797Fe0C348997356
First NFT owner address (bech32): 
genesis1kjer64hu0ah5q2p3q7n8jllqcdyfju6kxzr047
Current NFT ID #86383 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
86383
Accession (UniProt):
Q7UMW2
Name::
Bifunctional enzyme CysN/CysC
Experimental Method:
Predicted structure
Sequence source:
RHODOPIRELLULA BALTICA (STRAIN DSM 10527 / NCIMB 13988 / SH1)

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 Q7UMW2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7UMW2|CYSNC_RHOBA Bifunctional enzyme CysN/CysC OS=Rhodopirellula baltica (strain DSM 10527 / NCIMB 13988 / SH1) OX=243090 GN=cysNC PE=3 SV=1 MSHQSDLIATDIDAYLKQHEQKQLLRFITCGSVDDGKSTLIGRLLYDSKLVYEDELAKVQSDSVRQGSVAGGFDPSLFMDGLKEEREQGITIDVAYRYFSTAKRKFIIADTPGHEQYTRNMATGASSADLAIILIDARHGVLTQTRRHSFIVSLLGIRHVVVAVNKMDIDGVDYSEDRFNEICDDYRSFATRLDLPDLHFIPISALNGDNLVDRSENMPWYTGSTLMNFLETVYIGSDRNLQDFRLPVQLVNRPNLNFRGFCGTIASGIIRKGEEITVLPSRQKSKVKEIVTYDGNLDEAYAPLAVTLTLEDEIDASRGDMIVRSGNLPRSESDVEAMLVWMNEEAMVPGKTYLVKHSTQTVPGNVETLAYKVDVNDLHRMPAPTLELNEIGRVRLSLSAPIHHDPYRRNRTTGAIILVDRITNATVAAGMILDRGTTGSHKSVWDDEVSTDDSSDALSTVTTEERAARFGQKPATVLLTGLTGSGKTSIARAVERKLFDAGRSVAVVDGEFVRRGLSRDLGFSADDRSENLRRSGHLAHTLNDAGLICLASLVAPSDDVRQKVGKLIGEDQFLVVHVATPLDVCRERDTKGQYAKADAGELSNFPGVTAKYDVPTNPDLAVDASTTSIAECADAVVELLKLKGFIK