O32726 AF NFT

Anti-sigma F factor antagonist

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicu4fq5hoxq3ids23onzkdqjwp3k7phythfdhpmf4fnbi7mznds2e/metadata.json
IPFS of structure file: 
bafybeigncaeur43xekzarkahmqyngns3ifqgrx2xeiebcne35br4vrfuwy/AF-O32726-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0C565B44183A2EdEAd47c93586302667F007a919
First NFT owner address (bech32): 
genesis1p3t9k3qc8ghdat28ey6cvvpxvlcq02geue8x4l
Current NFT ID #433316 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433316
Accession (UniProt):
O32726
Name::
Anti-sigma F factor antagonist
Experimental Method:
Predicted structure
Sequence source:
GEOBACILLUS STEAROTHERMOPHILUS

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 O32726 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O32726|SP2AA_GEOSE Anti-sigma F factor antagonist OS=Geobacillus stearothermophilus OX=1422 GN=spoIIAA PE=1 SV=1 MSLAIDLEVKQDELIVRLSGELDHHTAENCMNKCRMCLEKRAIRHIVLNLGQLTFMDSSGLGVILGRYKQIKNVGGQMVVCAVSPAVKRLFDMSGLFKIIRVEADEQFALQALGVA