Q32DT0 AF NFT

Probable 4-amino-4-deoxy-L-arabinose-phosphoundecaprenol flippase subunit ArnF

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibbq6ys4cmvqp6anaru37twa5gswiu42nnivuxia2hgsirewjqwlu/metadata.json
IPFS of structure file: 
bafybeiaql4xidplteo5tm7g2pgkgnuts2qwzr33ntl5ly5qiljc3q75p2a/AF-Q32DT0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B130d619fCFc21d0D08E5Ce38Cf42A5fbe230CB
First NFT owner address (bech32): 
genesis1nvfs6cvlelpp6rgguh8r3n6z5ha7yvxthx8q26
Current NFT ID #24047 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
24047
Accession (UniProt):
Q32DT0
Name::
Probable 4-amino-4-deoxy-L-arabinose-phosphoundecaprenol flippase subunit ArnF
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 Q32DT0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32DT0|ARNF_SHIDS Probable 4-amino-4-deoxy-L-arabinose-phosphoundecaprenol flippase subunit ArnF OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=arnF PE=3 SV=2 MGLMWGLFSVIIASVAQLSLGFAASHLPPMTHLWDFIATLLAFGLDARILLLGLLGYLLSVFCWYKTLHKLALSKAYALLSMSYVLVWIASMVLPGWGGTFSLKALLGVACIMSGLMLIFLPTTKQRY