Q2RFI5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiespzboixyeboesbc2kunob2mochwhei3j3ufxlvfoynltpdmufwy/metadata.json
IPFS of structure file: 
bafybeiawble2zlmmh2b4cgsvqbvp27sbs4uuuwl5wouuih4lupdwo6iyui/AF-Q2RFI5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB35df660264f41795De49C83276C108A4ba91ADE
First NFT owner address (bech32): 
genesis1kdwlvcpxfaqhjh0ynjpjwmqs3f96jxk780zc93
Current NFT ID #532419 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532419
Accession (UniProt):
Q2RFI5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
MOORELLA THERMOACETICA (STRAIN ATCC 39073 / JCM 9320)

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 Q2RFI5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2RFI5|YIDD_MOOTA Putative membrane protein insertion efficiency factor OS=Moorella thermoacetica (strain ATCC 39073 / JCM 9320) OX=264732 GN=Moth_2522 PE=3 SV=1 MIDNWVILAIRFYQRYISPLLGRHCRFYPTCSQYALEAITKYGLLRGGLLATRRLLHCHPWDAGGYDPVP