Q32EZ0 AF NFT

High frequency lysogenization protein HflD homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibyk3ptch3ob4n5kpipywddas4sejlabsv7rvsawqywvr752xdmty/metadata.json
IPFS of structure file: 
bafybeihvzm77cicifvfxhnuejl2gxxkq3smvlhr6dxweikm3txcdogaguu/AF-Q32EZ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7B1Fbdc7c90598A502d8d8d5Dd726e011d0DC455
First NFT owner address (bech32): 
genesis10v0mm37fqkv22qkcmr2a6unwqywsm3z48u6p5y
Current NFT ID #168683 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
168683
Accession (UniProt):
Q32EZ0
Name::
High frequency lysogenization protein HflD homolog
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 Q32EZ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32EZ0|HFLD_SHIDS High frequency lysogenization protein HflD homolog OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=hflD PE=3 SV=1 MAKNYYDITLALAGICQSARLVQQLAHQGHCDADALHVSLNSIIDMNPSSTLAVFGGSEANLRVGLETLLGVLNASSRQGLNAELTRYTLSLMVLERKLSSAKGALDTLGNRINGLQRQLEHFDLQSETLMSAMAAIYVDVISPLGPRIQVTGSPAVLQSPQVQAKVRATLLAGIRAAVLWHQVGGGRLQLMFSRNRLTTQAKQILAHLTPEL