Q9I767 AF NFT

5'-nucleotidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeighrbuxgn576mpmqenvuhicdcucfqcn74lbr6sdhux54ztf3723m4/metadata.json
IPFS of structure file: 
bafybeidjc4ej7dohdlqdqfprx624mmqx3dqqjrpfigeuq6e7q2kn4furbi/AF-Q9I767-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD0Eb3f1c6E7C00D7f0b12CBe40cD816bCe92F0D5
First NFT owner address (bech32): 
genesis16r4n78rw0sqd0u939jlypnvpd08f9ux48fjfvy
Current NFT ID #1797 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
1797
Accession (UniProt):
Q9I767
Name::
5'-nucleotidase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9I767 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I767|5NTD_PSEAE 5'-nucleotidase OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=PA0065 PE=1 SV=1 MRDAALRYPNILFDLDGTLTDPREGITRSVQFALARLGIDEPDLARLEHFIGPPLLQCFMQTYGFDEARAWEAVNHYRERFRVTGLYENRVFDGIPELLEALVGRGHTLYVATSKPGVFAREIARHFAFDRHFKAIYGSELDGTRTHKEELIRHLLDSEGLAAEHCLMIGDRMHDLLGASRNGVACIGVGYGFGSEDELRAHQPTHYCADLAALRQVLESH