Q9KCN2 AF NFT

Anti-sigma F factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiey2ino2jqiaeeasrk3ukz3edr2ey2omn3aax6kuvopo62f37y5ju/metadata.json
IPFS of structure file: 
bafybeihxsdtgomn4zpr3rhs5n75pqpd4cfcgloymbm3yrft6wnxiozquxe/AF-Q9KCN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #433322 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433322
Accession (UniProt):
Q9KCN2
Name::
Anti-sigma F factor
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9KCN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KCN2|SP2AB_ALKHC Anti-sigma F factor OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=spoIIAB PE=3 SV=1 MRNEMNLSFSAQSQNESFARVTVGAFIAQLDPTMDEMTEIKTVVSEAVTNAIIHGYQGQPDGVVYIHASIDQGVFELTIRDEGMGISDVEEARQPLYTTKPELERSGMGFTIMENFMDEVKVVSEPMIGTTVFLKKHLTKSKAICN