B7HN53 AF NFT

Anti-sigma F factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4w5t3k5pit772oq653q7qk2klddpbv7qppytmkyyoo4ef43szzy/metadata.json
IPFS of structure file: 
bafybeigzzuz4nzebqz3vhwhznohmslvf36acjbkqimmhqelektsw5bdlxq/AF-B7HN53-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #433333 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433333
Accession (UniProt):
B7HN53
Name::
Anti-sigma F factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain AH187)

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 B7HN53 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7HN53|SP2AB_BACC7 Anti-sigma F factor OS=Bacillus cereus (strain AH187) OX=405534 GN=spoIIAB PE=3 SV=1 MRNEMNLQFSALSQNESFARVTVAAFIAQLDPTMEELTEIKTVVSEAVTNAIIHGYEGNAEGVVYISVILEEAMVKLTIRDEGIGIFNLDEARQPLFTTKPELERSGMGFTIMENFMDEVEVISNESFGTTIHLTKYLSNSNALCN