Q66FE0 AF NFT

Divalent-cation tolerance protein CutA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibvrb7j5bzo6j4wczrmydvwsemugxnplpuaa3q32h5ucd5y53kqky/metadata.json
IPFS of structure file: 
bafybeicnwxufzypwylz7gr2ri25qczm6vwhv4wzfp4gezlbkfg2kpxvyva/AF-Q66FE0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #81149 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81149
Accession (UniProt):
Q66FE0
Name::
Divalent-cation tolerance protein CutA
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66FE0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66FE0|CUTA_YERPS Divalent-cation tolerance protein CutA OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=cutA PE=3 SV=1 MSDSDAMTDPNAVSYSNAIVVLCTAPDEASAQNLAAQVLGEKLAACVTLLPGATSLYYWEGKLEQEYEVQLLFKSNTDHQQALLTYIKQHHPYQTPELLVLPVRDGDKDYLSWLNASLL