Q3YUK3 AF NFT

Divalent-cation tolerance protein CutA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmnd7ial62ti2e5chvehp3wb37zzukmypjq6gzvgsiamr73jl2ee/metadata.json
IPFS of structure file: 
bafybeif2gfiplmrp5vohjcg5oyko6dk3v4zgtcxltqhtcijxkrams54nbi/AF-Q3YUK3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6e01080e01Da0b8798c9B0Ea0E75d75D9e49F5Df
First NFT owner address (bech32): 
genesis1dcqssrspmg9c0xxfkr4quawhtk0ynawls8tgtd
Current NFT ID #81136 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81136
Accession (UniProt):
Q3YUK3
Name::
Divalent-cation tolerance protein CutA
Experimental Method:
Predicted structure
Sequence source:
Shigella sonnei (strain Ss046)

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 Q3YUK3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3YUK3|CUTA_SHISS Divalent-cation tolerance protein CutA OS=Shigella sonnei (strain Ss046) OX=300269 GN=cutA PE=3 SV=1 MLDEKSSNTASVVVLCTAPDEATAQDLAAKVLAEKLAACATLIPGATSLYYWEGKLEQEYEVQMILKTTVSHQQALLECLKSHHPYQTPELLVLPVTHGDTDYLSWLNASLR