A0RI78 AF NFT

Anti-sigma F factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihoq2xfftzuropaun7qc4u6fq2fcr6uavkvpmtnnrk32hb52frap4/metadata.json
IPFS of structure file: 
bafybeif675hl6pand7nnissbl35363wkbbcynmcnvzshns7727723jptxu/AF-A0RI78-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6191383F4eB2D51222b1165AcAF61154071b4A5B
First NFT owner address (bech32): 
genesis1vxgns06wkt23yg43zedv4as32sr3kjjmys9qpq
Current NFT ID #433326 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433326
Accession (UniProt):
A0RI78
Name::
Anti-sigma F factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis (strain Al Hakam)

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 A0RI78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0RI78|SP2AB_BACAH Anti-sigma F factor OS=Bacillus thuringiensis (strain Al Hakam) OX=412694 GN=spoIIAB PE=3 SV=1 MRNEMNLQFSALSQNESFARVTVAAFIAQLDPTMEELTEIKTVVSEAVTNAIIHGYEGNAEGVVYISVILEEAMVKLTIRDEGIGIFNLDEARQPLFTTKPELERSGMGFTIMENFMDEVEVISNESFGTTIHLTKYLSNSNALCN