Q6D9J5 AF NFT

Divalent-cation tolerance protein CutA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidlompafva7ilx4gmqcvflw4xjgwat4tiqsh34tiqc7h4vab4zir4/metadata.json
IPFS of structure file: 
bafybeickbk4avpfr7zhb7q4w3ryepdppeusjlgodvnsus2jbdnhsxbhfii/AF-Q6D9J5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA1c826E4fD9DbCFb69010558796CF746d7087DeA
First NFT owner address (bech32): 
genesis158yzde8ank70k6gpq4v8jm8hgmtssl024s3t50
Current NFT ID #81117 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81117
Accession (UniProt):
Q6D9J5
Name::
Divalent-cation tolerance protein CutA
Experimental Method:
Predicted structure
Sequence source:
PECTOBACTERIUM ATROSEPTICUM (STRAIN SCRI 1043 / ATCC BAA-672)

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 Q6D9J5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6D9J5|CUTA_PECAS Divalent-cation tolerance protein CutA OS=Pectobacterium atrosepticum (strain SCRI 1043 / ATCC BAA-672) OX=218491 GN=cutA PE=3 SV=2 MSDRPLCDAVVILCTAPDDACAQRLANSLLETRLAACVTLLPGARSLYYWEGKLEQQSEVQMLIKSDTSHQQALLTHLKQQHPYDTPELLVLPVSGGDSDYLTWLNASLR