B4TF74 AF NFT

Divalent-cation tolerance protein CutA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6rtqu53qtbcf7va47thugthfwh3hiod7ujb7fd2rcfkqx7et3j4/metadata.json
IPFS of structure file: 
bafybeibstdryjkqxj3y6qsj5hbk3xzcr54hgoywwlbfme4u43dnsgowrxu/AF-B4TF74-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC247c99E05131ed14368eDD5e659B4F41aFA32ab
First NFT owner address (bech32): 
genesis1cfrun8s9zv0dzsmgah27vkd57sd05v4tfrx52v
Current NFT ID #81125 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81125
Accession (UniProt):
B4TF74
Name::
Divalent-cation tolerance protein CutA
Experimental Method:
Predicted structure
Sequence source:
Salmonella heidelberg (strain SL476)

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 B4TF74 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4TF74|CUTA_SALHS Divalent-cation tolerance protein CutA OS=Salmonella heidelberg (strain SL476) OX=454169 GN=cutA PE=3 SV=1 MLDVKSQDISIPEAVVVLCTAPDEATAQDLAAKVLAEKLAACATLLPGATSLYYWEGKLEQEYEVQMILKTTVSHQQALIDCLKSHHPYQTPELLVLPVTHGDTDYLSWLNASLR