Q57GQ4 AF NFT

Divalent-cation tolerance protein CutA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeift2lmnk2xsro36uf7ynwnxu43koj3tkkz65muf2gjbxs7lzr7b7q/metadata.json
IPFS of structure file: 
bafybeifmdzdkirmxsgki4wxtmfpc6slzj6rk2bhahicviglwysibl3nxiu/AF-Q57GQ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaa53776A41fB2e67da75A96E8a53746b6874aAB4
First NFT owner address (bech32): 
genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30
Current NFT ID #81121 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81121
Accession (UniProt):
Q57GQ4
Name::
Divalent-cation tolerance protein CutA
Experimental Method:
Predicted structure
Sequence source:
Salmonella choleraesuis (strain SC-B67)

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 Q57GQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q57GQ4|CUTA_SALCH Divalent-cation tolerance protein CutA OS=Salmonella choleraesuis (strain SC-B67) OX=321314 GN=cutA PE=3 SV=1 MLDVKSQDISIPEAVVVLCTAPDEATAQDLAAKVLAEKLAACATLLPGATSLYYWEGKLEQEYEVQMILKTTVSHQQALIDCLKSHHPYQTPELLVLPVTHGDTDYLSWLNASLR