Q6HE93 AF NFT

Anti-sigma F factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmegl6bdstmw4yly6d3d7ldvgtvvvjklocpofqhacidmwu6fsvy4/metadata.json
IPFS of structure file: 
bafybeiheykfmzbyw5wfqqenlk5u4zal5weszekayqlhh5gi6p2uvlabnrm/AF-Q6HE93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9CEd9D970D1D6A73F17D1B47f0bAAF860B666B0D
First NFT owner address (bech32): 
genesis1nnkem9cdr4488utardrlpw40sc9kv6cd7hx7j6
Current NFT ID #433338 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433338
Accession (UniProt):
Q6HE93
Name::
Anti-sigma F factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis subsp. konkukian (strain 97-27)

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 Q6HE93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6HE93|SP2AB_BACHK Anti-sigma F factor OS=Bacillus thuringiensis subsp. konkukian (strain 97-27) OX=281309 GN=spoIIAB PE=3 SV=1 MRNEMNLQFSALSQNESFARVTVAAFIAQLDPTMEELTEIKTVVSEAVTNAIIHGYEGNAEGVVYISVILEEAMVKLTIRDEGIGIFNLDEARQPLFTTKPELERSGMGFTIMENFMDEVEVISNESFGTTIHLTKYLSNSNALCN