Q9F719 AF NFT

NADPH-dependent 7-cyano-7-deazaguanine reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigheqx5e5rdmivlu6xnledlczhvp4x5nvwbjo7daffq5a6dr7fpz4/metadata.json
IPFS of structure file: 
bafybeibq5vfz7ytj6vtc5hbxulknmr3i54baurzycronjitssaqljaiqiq/AF-Q9F719-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7a1388B6Aad67B04634A32f63b8A6D6005eab86c
First NFT owner address (bech32): 
genesis10gfc3d426easgc62xtmrhzndvqz74wrv0qh3l8
Current NFT ID #330839 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
330839
Accession (UniProt):
Q9F719
Name::
NADPH-dependent 7-cyano-7-deazaguanine reductase
Experimental Method:
Predicted structure
Sequence source:
CHLOROBACULUM TEPIDUM (STRAIN ATCC 49652 / DSM 12025 / NBRC 103806 / TLS)

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 Q9F719 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9F719|QUEF_CHLTE NADPH-dependent 7-cyano-7-deazaguanine reductase OS=Chlorobaculum tepidum (strain ATCC 49652 / DSM 12025 / NBRC 103806 / TLS) OX=194439 GN=queF PE=3 SV=1 MNKEIIEVFDNTYPDRDYTIEIINPEFTSVCPKTGLPDFGTITVNYVPDKSCIELKSLKYYFLEFRNAGIFYENITNRILDDLVEACQPRRMTVKTEWNARGGITETVTVSYSKSKE