Q328K2 AF NFT

Ascorbate-specific PTS system EIIA component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib3p5bt7cmj6elxqvhy52yzpsyfks7d7t4cfoebxofvgptgrcjm6i/metadata.json
IPFS of structure file: 
bafybeidt5lf25zrjsjgzuggwuzswnwxzxbw42jx45zsxgeibxkh7oyzzru/AF-Q328K2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2A3fB0b56B9d09445eFeB7C267536EF817dd7D
First NFT owner address (bech32): 
genesis1hv4rlv94dwwsj3z7l6muye6ndmup0htag0j2rx
Current NFT ID #488263 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
488263
Accession (UniProt):
Q328K2
Name::
Ascorbate-specific PTS system EIIA component
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q328K2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q328K2|ULAC_SHIDS Ascorbate-specific PTS system EIIA component OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=ulaC PE=3 SV=1 MKLRDSLAVNKSIRLQAEAETWQDAVKIGVDLLVAADVVEPRYYQAILDGVEQFGPYFVIAPGLTMPHGRPEEGVKKTGFSLVTLKKPLEFNHDDNDPVDILITMAAVDANTHQEVGIMQIVNLFEDEENFDRLRACRTEQEVLDLIDRTNAAA