Q7W2K2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiau5gymku7lg53db4t22m5dj6fgntfsixtzlshaulafj3bqtmqi54/metadata.json
IPFS of structure file: 
bafybeibnpd2jxzfb4axiktwoecxm7wigqxd2rhaitdjojdt65cbvr5jdjq/AF-Q7W2K2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #532213 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532213
Accession (UniProt):
Q7W2K2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PARAPERTUSSIS (STRAIN 12822 / ATCC BAA-587 / NCTC 13253)

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 Q7W2K2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7W2K2|YIDD_BORPA Putative membrane protein insertion efficiency factor OS=Bordetella parapertussis (strain 12822 / ATCC BAA-587 / NCTC 13253) OX=257311 GN=BPP4404 PE=3 SV=1 MIRRLLIAPIRFYRYFLSPWVGRQCRFTPTCSAYAIEAIERHGAWRGLWLAARRIGRCHPWSPGGYDPVPPGHGAGAQACCAHRHRTEPD