B2UVF4 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepp7nfrvtg4s6tbgh3zgowivjuqq7pher3mzr3kcfjswir6kjo5q/metadata.json
IPFS of structure file: 
bafybeiajcialghbnmshvs7wl3wknysn4h4c5rpohl662ra47daxs5v3a2e/AF-B2UVF4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x37eab547cBF8ff4F6a6F4A54C53528a30Eb2012D
First NFT owner address (bech32): 
genesis1xl4t237tlrl576n0ff2v2dfg5v8tyqfdxsx6ky
Current NFT ID #330907 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
330907
Accession (UniProt):
B2UVF4
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
Helicobacter pylori (strain Shi470)

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 B2UVF4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2UVF4|QUEF_HELPS NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Helicobacter pylori (strain Shi470) OX=512562 GN=queF PE=3 SV=1 MTPELKSLGAKTPYIFEYNSQLLEAFPNPNPNLDPLITLECKEFTSLCPITSQPDFGIIYIRYIPKDKMVESKSLKLYLFSYRNHGSFHESCINTILLDLVQLLEPKYLEVYGDFASRGGIAIKPFVNYAIKEYQEFKEKRLLNAK