Q9PEN9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih6dkpohllx7e2ganhjp4ch4dmy2nh4wy2p2h7xfsvsdud5pyaz7u/metadata.json
IPFS of structure file: 
bafybeiaf7sfwyemsghhugp3j3m7im3goqlkl5ihi3cnwe5u54aqmfgq6wy/AF-Q9PEN9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd591AB2c86adCdf200aB28b9BEb496Cf7DFb1867
First NFT owner address (bech32): 
genesis16kg6ktyx4hxlyq9t9zumadykea7lkxr87dcmdw
Current NFT ID #532649 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532649
Accession (UniProt):
Q9PEN9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
XYLELLA FASTIDIOSA (STRAIN 9A5C)

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 Q9PEN9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PEN9|YIDD_XYLFA Putative membrane protein insertion efficiency factor OS=Xylella fastidiosa (strain 9a5c) OX=160492 GN=XF_0989 PE=3 SV=2 MHKAIMHPLILLLKIYKRLISPLLGPHCRFEPSCSEYAMGAIARFGTLRGIWLAARRLARCQPLQPGGYDPVPDNISTQVNPPSHRCTGHHQ