O32723 AF NFT

Anti-sigma F factor antagonist

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiadies3wt2hyprnbnpkh3ovprdltd2tx57zhvcr3ddvqlcl4j2ctq/metadata.json
IPFS of structure file: 
bafybeickcjpcw4i3ebc3ecjzer5pfq6l6acggvvy3wpzitjlfyyosxosiu/AF-O32723-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x93c9c10cD9Ce1353A32B4e012FD69d78688DF18A
First NFT owner address (bech32): 
genesis1j0yuzrxeecf48getfcqjl45a0p5gmuv2cyrgfa
Current NFT ID #433317 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433317
Accession (UniProt):
O32723
Name::
Anti-sigma F factor antagonist
Experimental Method:
Predicted structure
Sequence source:
LYSINIBACILLUS SPHAERICUS

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 O32723 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O32723|SP2AA_LYSSH Anti-sigma F factor antagonist OS=Lysinibacillus sphaericus OX=1421 GN=spoIIAA PE=1 SV=1 MHFQLEMVTRETVVIRLFGELDHHAVEQIRAKISAAIFQGTVTTIIWNLEGLSFMDSSGVGLVLGRMRELEAVAGRTILLNPSPTMRKVFQFSGLGPWMMDATEEQAIDRVRGIVNG