C1EQU8 AF NFT

Anti-sigma F factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxuor7s5txvrd7f3v5zli5tp4yq5tg6nxterik4jhc37yfsigfbi/metadata.json
IPFS of structure file: 
bafybeiha5firwro3o6hhlja5rsdqcu4ajccg7qa4msbudjq4bvigxhmlzm/AF-C1EQU8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB35df660264f41795De49C83276C108A4ba91ADE
First NFT owner address (bech32): 
genesis1kdwlvcpxfaqhjh0ynjpjwmqs3f96jxk780zc93
Current NFT ID #433331 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433331
Accession (UniProt):
C1EQU8
Name::
Anti-sigma F factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain 03BB102)

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 C1EQU8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1EQU8|SP2AB_BACC3 Anti-sigma F factor OS=Bacillus cereus (strain 03BB102) OX=572264 GN=spoIIAB PE=3 SV=1 MRNEMNLQFSALSQNESFARVTVAAFIAQLDPTMEELTEIKTVVSEAVTNAIIHGYEGNAEGVVYISVILEEAMVKLTIRDEGIGIFNLDEARQPLFTTKPELERSGMGFTIMENFMDEVEVISNESFGTTIHLTKYLSNSNALCN