A9QYQ6 AF NFT

Divalent-cation tolerance protein CutA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiap6ckayklypzzgskpq73op6n2hp7w3xdy2z5kdbuax3u3e5vw6qa/metadata.json
IPFS of structure file: 
bafybeig4b3oryralgdbvz6ozzkyujdns5ppjhcuykui63ryz2lalt23n4e/AF-A9QYQ6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71351b1FB9B1B80D8d60E1f869F762a9c785B183
First NFT owner address (bech32): 
genesis1wy63k8aekxuqmrtqu8uxnamz48rctvvr932j4d
Current NFT ID #81146 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81146
Accession (UniProt):
A9QYQ6
Name::
Divalent-cation tolerance protein CutA
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9QYQ6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9QYQ6|CUTA_YERPG Divalent-cation tolerance protein CutA OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=cutA PE=3 SV=1 MSDSDAMTDPNAVSYSNAIVVLCTAPDEASAQNLAAQVLGEKLAACVTLLPGATSLYYWEGKLEQEYEVQLLFKSNTDHQQALLTYIKQHHPYQTPELLVLPVRDGDKDYLSWLNASLL