Q4QLR1 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibjmte4jkvjnsnffn52ne23k4i65gg3t3zd654xbajeuducth426e/metadata.json
IPFS of structure file: 
bafybeiaaful73o3tnsa3wbr4wkpctgftqg2v3qdlrc7eaejgbwrfezqwmy/AF-Q4QLR1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B130d619fCFc21d0D08E5Ce38Cf42A5fbe230CB
First NFT owner address (bech32): 
genesis1nvfs6cvlelpp6rgguh8r3n6z5ha7yvxthx8q26
Current NFT ID #532356 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532356
Accession (UniProt):
Q4QLR1
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
HAEMOPHILUS INFLUENZAE (STRAIN 86-028NP)

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 Q4QLR1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4QLR1|YIDD_HAEI8 Putative membrane protein insertion efficiency factor OS=Haemophilus influenzae (strain 86-028NP) OX=281310 GN=NTHI1174 PE=3 SV=1 MAETHSLGTKILIKIIRLYQIMISPFIGARCRFVPTCSCYGIEALKTHGLLKGGWLTLKRVLKCHPLNAGGFDPVPPKTNNNDEKK