Q92AZ0 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieaurqxqf7pan7fuy72mu5egi3rfsg4hmgo2qr2hg6skmlzvbndxa/metadata.json
IPFS of structure file: 
bafybeidiqygysu77kumtaaqehzo5kj2lxfokfcvckto6zi5rzg2irr3dku/AF-Q92AZ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #532402 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532402
Accession (UniProt):
Q92AZ0
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
LISTERIA INNOCUA SEROVAR 6A (STRAIN ATCC BAA-680 / CLIP 11262)

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 Q92AZ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92AZ0|YIDD_LISIN Putative membrane protein insertion efficiency factor OS=Listeria innocua serovar 6a (strain ATCC BAA-680 / CLIP 11262) OX=272626 GN=lin1778 PE=3 SV=1 MKKMLIGGIRLYQKYISRFTPATCRFYPTCSAYGIEAIETHGALKGSYLAIRRISKCHPFHKGGLDFVPPKKDKNDDSGHTCKAHHHH