B5F2K4 AF NFT

Divalent-cation tolerance protein CutA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiajdlk4eo6m33vfuzu64gziwmygob2vtptgnnsdvehwi62ae6mc4e/metadata.json
IPFS of structure file: 
bafybeicjahnfmpcp2sonfak7v5stzcoknrjs5yr4jxtsiqctncvfmorvzq/AF-B5F2K4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x79a905d858Ce72991FD6E7a9C6498620f42E146D
First NFT owner address (bech32): 
genesis10x5stkzceeefj87ku75uvjvxyr6zu9rds9d8xj
Current NFT ID #81120 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81120
Accession (UniProt):
B5F2K4
Name::
Divalent-cation tolerance protein CutA
Experimental Method:
Predicted structure
Sequence source:
Salmonella agona (strain SL483)

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 B5F2K4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5F2K4|CUTA_SALA4 Divalent-cation tolerance protein CutA OS=Salmonella agona (strain SL483) OX=454166 GN=cutA PE=3 SV=1 MLDVKSQDISIPEAVVVLCTAPDEATAQDLAAKVLAEKLAACATLLPGATSLYYWEGKLEQEYEVQMILKTTVSHQQALIDCLKSHHPYQTPELLVLPVTHGDTDYLSWLNASLR