Q9PLV4 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibofea2pgqujwagzudjfqbdrdrtf4hni3ykgks3hipg6gjeiqjzom/metadata.json
IPFS of structure file: 
bafybeih2r66w66cl2zuvnmwre3sqw2s2kaehr2dyoisvjezeqfzailzcay/AF-Q9PLV4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4492b692811e0e21034D665BfE914c3870236De3
First NFT owner address (bech32): 
genesis1gjftdy5prc8zzq6dvedlay2v8pczxm0r3rhmy6
Current NFT ID #330824 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
330824
Accession (UniProt):
Q9PLV4
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
CAMPYLOBACTER JEJUNI SUBSP. JEJUNI SEROTYPE O:2 (STRAIN ATCC 700819 / NCTC 11168)

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 Q9PLV4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PLV4|QUEF_CAMJE NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Campylobacter jejuni subsp. jejuni serotype O:2 (strain ATCC 700819 / NCTC 11168) OX=192222 GN=queF PE=3 SV=1 MRYGEKEIKEFDVENMEIWPNDAKNDYIIKITLPEFMCCCPRSGYPDFATIYLEYMPDKFVVELKAIKLYINTFMYRNVSHEASINEIYNTLKDKLKPKWIKVVGDFNPRGNVHTVIECRSDMVVPK