P59624 AF NFT

Anti-sigma F factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiex7yejqm7mi6r4l7fxrysp7btjcpd52dkzvpaimqkjsokrgm4miq/metadata.json
IPFS of structure file: 
bafybeibvjasn56ffy2hzuzwfozfpep4nwhjzf3tbmjqujj7frfib247di4/AF-P59624-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Bba4Dfcacaa163872Cb467D38Fc0e76d3D00cF3
First NFT owner address (bech32): 
genesis1dwayml9v4gtrsuktge7n3lqwwmfaqr8nzrczyl
Current NFT ID #433364 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433364
Accession (UniProt):
P59624
Name::
Anti-sigma F factor
Experimental Method:
Predicted structure
Sequence source:
Pasteuria penetrans

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 P59624 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P59624|SP2AB_PASPE Anti-sigma F factor OS=Pasteuria penetrans OX=86005 GN=spoIIAB PE=3 SV=1 MKRNRMEMEFTSCSENEAFARIAVAAFVAQLDPTLEELTDIKTVVSEAVTNAVIHAYGECSEGMMVRVSVEIEDTQVAITVTDRGVGIVDVEQARQPLYTSRPEWERAGMGFSIMEHFMDQVRVRSTPGQGTVVHMIKKLQASRNVAVVN