Q32AM4 AF NFT

Probable [Fe-S]-dependent transcriptional repressor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigtojnwxtd4lgtdobyuhtxbfiljuzlsz7uqygb222nnhzo2xyqffe/metadata.json
IPFS of structure file: 
bafybeih6oriz6a6uua4eapjbvh3ca4uoiziyry6jxffkrmzxaunaqd2xre/AF-Q32AM4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDe2aE7Cc3d8e4f1cd20A4c886f7791E6261B7414
First NFT owner address (bech32): 
genesis1mc4w0npa3e83e5s2fjyx7au3ucnpkaq5pf0eeu
Current NFT ID #129097 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
129097
Accession (UniProt):
Q32AM4
Name::
Probable [Fe-S]-dependent transcriptional repressor
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 Q32AM4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32AM4|FEOC_SHIDS Probable [Fe-S]-dependent transcriptional repressor OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=feoC PE=3 SV=1 MASLIQVRDLLALRGRMEAAQISQTLNTPQPMINAMLQQLESMGKAVRIQEEPDGCLSGSCKSCPEGKACLREWWALR