Q1CEC9 AF NFT

Divalent-cation tolerance protein CutA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic4q54wn3f6wzguwkkjcwejco3xxfhcjffqp76zqeifqwpsofz2ya/metadata.json
IPFS of structure file: 
bafybeibs7fpn6giamj6tbbeyo5bj7wwjjdqqcxqdzcu5jemda5vh2xeqne/AF-Q1CEC9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1c1083b2b9F8218b30361b06d1ca8579b816008C
First NFT owner address (bech32): 
genesis1rsgg8v4elqsckvpkrvrdrj590xupvqyvuhdjhh
Current NFT ID #81147 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81147
Accession (UniProt):
Q1CEC9
Name::
Divalent-cation tolerance protein CutA
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CEC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CEC9|CUTA_YERPN Divalent-cation tolerance protein CutA OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=cutA PE=3 SV=1 MSDSDAMTDPNAVSYSNAIVVLCTAPDEASAQNLAAQVLGEKLAACVTLLPGATSLYYWEGKLEQEYEVQLLFKSNTDHQQALLTYIKQHHPYQTPELLVLPVRDGDKDYLSWLNASLL