Q2IWC9 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieglhl6gsctwinkao3et6hcbnljzuph27rdhufzbds7scnuvfou6a/metadata.json
IPFS of structure file: 
bafybeidi5zmsrr3kgvhf6o764zn3x3ec3wqpy64hs6wlp2frmiek3ovzmu/AF-Q2IWC9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #331007 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
331007
Accession (UniProt):
Q2IWC9
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
RHODOPSEUDOMONAS PALUSTRIS (STRAIN HAA2)

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 Q2IWC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2IWC9|QUEF_RHOP2 NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Rhodopseudomonas palustris (strain HaA2) OX=316058 GN=queF PE=3 SV=1 MSRSPRKTSKSAGLQLGRAVAWPATPDAAQIDRVPNPQAGTDYLVRFTAPEFTSLCPVTGQPDFAHLVIDYAPGAWLVESKSLKLYLASFRNHGGFHEDCTVSIGKRIAAEIKPKWLRIGGYWYPRGGIPIDVFWQTGKLPKNVWVPDQGVATYRGRG