P10727 AF NFT

Anti-sigma F factor antagonist

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic2tkf3a5advtfikcnygseix6dsgp5rbq2djcmpko7gsedxag7asy/metadata.json
IPFS of structure file: 
bafybeiczmfkp7tf5uiunoc5rtvd4gitbeup6mpofckws4323b5hopp7pb4/AF-P10727-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0D671490EE06E75975e90D7F99F73B20BE618744
First NFT owner address (bech32): 
genesis1p4n3fy8wqmn4ja0fp4lenaemyzlxrp6y5ma6w5
Current NFT ID #433315 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433315
Accession (UniProt):
P10727
Name::
Anti-sigma F factor antagonist
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 P10727 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P10727|SP2AA_BACSU Anti-sigma F factor antagonist OS=Bacillus subtilis (strain 168) OX=224308 GN=spoIIAA PE=1 SV=3 MSLGIDMNVKESVLCIRLTGELDHHTAETLKQKVTQSLEKDDIRHIVLNLEDLSFMDSSGLGVILGRYKQIKQIGGEMVVCAISPAVKRLFDMSGLFKIIRFEQSEQQALLTLGVAS