Q1C0X5 AF NFT

Divalent-cation tolerance protein CutA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibgxuxd2boqktcwf2uo7qzf7yqksdwmbo3t72yz4p5rcfaqa6jix4/metadata.json
IPFS of structure file: 
bafybeibcgi2npftbm5iklrpf5qow5jifzssrn2evmm3dvvdez4d45j2nwu/AF-Q1C0X5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ed09D80e98fE15DE51C9E7a8896AbF1f2365C3e
First NFT owner address (bech32): 
genesis1dmgfmq8f3ls4meguneag394t78ervhp7h90qf8
Current NFT ID #81143 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81143
Accession (UniProt):
Q1C0X5
Name::
Divalent-cation tolerance protein CutA
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C0X5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C0X5|CUTA_YERPA Divalent-cation tolerance protein CutA OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=cutA PE=3 SV=1 MSDSDAMTDPNAVSYSNAIVVLCTAPDEASAQNLAAQVLGEKLAACVTLLPGATSLYYWEGKLEQEYEVQLLFKSNTDHQQALLTYIKQHHPYQTPELLVLPVRDGDKDYLSWLNASLL