Q5PL69 AF NFT

Divalent-cation tolerance protein CutA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiggd4skywz2jyfa3clt6tl4eemzyse3oe3ujkwfp62xfh4q4jdlxq/metadata.json
IPFS of structure file: 
bafybeifyy5e2svoopnnfydvvdeywnxdmgii5jbv5tkxhng37fas2iuq23u/AF-Q5PL69-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x65Aa444c599a2FAFaA573437756707F24918A5Fe
First NFT owner address (bech32): 
genesis1vk4ygnzengh6l2jhxsmh2ec87fy33f07qm6yk5
Current NFT ID #81127 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81127
Accession (UniProt):
Q5PL69
Name::
Divalent-cation tolerance protein CutA
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA PARATYPHI A (STRAIN ATCC 9150 / SARB42)

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 Q5PL69 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5PL69|CUTA_SALPA Divalent-cation tolerance protein CutA OS=Salmonella paratyphi A (strain ATCC 9150 / SARB42) OX=295319 GN=cutA PE=3 SV=1 MLDVKSQDISIPEAVVVLCTAPDEATAQDLAAKVLAEKLAACATLLPGATSLYYWEGKLEQEYEVQMILKTTVSHQQALIDCLKSHHPYQTPELLVLPVTHGDTDYLSWLNASLR