Q6F9F7 AF NFT

(Z)-2-((N-methylformamido)methylene)-5-hydroxybutyrolactone dehydrogenase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawt6cl5shxrdgaaexn53cldtaehanjnyw4yjtlntuhova6gnspda/metadata.json
IPFS of structure file: 
bafybeidhz6smddbpk6mwvrkh6v7y43fvkl2ugqkettmf6penmosfxqpomy/AF-Q6F9F7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x866b846BF04951b9214b46ED5E3FC54E8e4ab00f
First NFT owner address (bech32): 
genesis1se4cg6lsf9gmjg2tgmk4u079f68y4vq076zuja
Current NFT ID #462024 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
462024
Accession (UniProt):
Q6F9F7
Name::
(Z)-2-((N-methylformamido)methylene)-5-hydroxybutyrolactone dehydrogenase
Experimental Method:
Predicted structure
Sequence source:
ACINETOBACTER BAYLYI (STRAIN ATCC 33305 / BD413 / ADP1)

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 Q6F9F7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6F9F7|TGNC_ACIAD (Z)-2-((N-methylformamido)methylene)-5-hydroxybutyrolactone dehydrogenase OS=Acinetobacter baylyi (strain ATCC 33305 / BD413 / ADP1) OX=62977 GN=tgnC PE=1 SV=1 MQQFQLYINGKFEDGAAQFDSINPATGEIWAKMPEARTDQVNRAVDAAEQAFYDSSWSGLTASQRGKLLYKLADLVEKSAPRLAALETTDTGKIIRETSSQIAYVAEYYRYYAGLADKIEGSFIPVDKPDMQAWLVREPVGVVAAIVPWNSQLFLSAVKVGPALAAGCTVVLKASEEAPAPLLEFAKLIDEAGFPAGVVNVITGFGPECGAVLSAHPKVAHIAFTGGPETAKHIVRNSAENLAKVSLELGGKSPFIVFADTDINSALNAQIAAIFAATGQSCVAGSRLLIEESIKDEFLQRLAERVQSIKMGLPDDMQTEYGPLCTLKQREKIQQVVQRSVEQGAKLITGGQVCDGAGYYYPPTILDCSGVSDAQSIHTELFGPVLSVDTFSTEAEAIQKANSTPYGLASGVFTSNLTRAHRMTRAIRSGIVWLNTYRVVSPLAPFGGYGLSGHGREGGLSAALEYTTTKTVWLRMSDQPIDDPFVMR