B7H965 AF NFT

Anti-sigma F factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiahzlf55bfeohdxfpiee6uaaby37jhwagodi2vyyszdsqfn77gfgi/metadata.json
IPFS of structure file: 
bafybeihaalpykcmu4ipfr67v73h37wofdvxtmyqtjysiqvuhhnshdojlk4/AF-B7H965-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAFcE78C2F59C0868Bf7ACDb4670B574ae14010e4
First NFT owner address (bech32): 
genesis14l883sh4nsyx30m6ek6xwz6hfts5qy8y880rwk
Current NFT ID #433332 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433332
Accession (UniProt):
B7H965
Name::
Anti-sigma F factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain B4264)

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 B7H965 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7H965|SP2AB_BACC4 Anti-sigma F factor OS=Bacillus cereus (strain B4264) OX=405532 GN=spoIIAB PE=3 SV=1 MRNEMNLQFSALSQNESFARVTVAAFIAQLDPTMEELTEIKTVVSEAVTNAIIHGYEGNAEGIVYISVILEEAMVKLTIRDEGIGIFNLDEARQPLFTTKPELERSGMGFTIMENFMDEVEVISNESFGTTIHLTKYLSNSNALCN