Q9I270 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzpmqpw63zc2gsx4zd5pvuwiprwmpyse3gosjmai7mmims6gqozm/metadata.json
IPFS of structure file: 
bafybeihg46jtszenl5zayenaizgnarj6j3wufsit42jasvsmglvgdhqbpm/AF-Q9I270-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x51B7636bc80cc968e87D857214f08A0195D96382
First NFT owner address (bech32): 
genesis12xmkx67gpnyk36ras4epfuy2qx2ajcuz2n2f4p
Current NFT ID #532476 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532476
Accession (UniProt):
Q9I270
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9I270 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I270|YIDD_PSEAE Putative membrane protein insertion efficiency factor OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=PA2045 PE=3 SV=1 MKFLLIGLIRFYQYAISPLIGPRCRFYPSCSHYTLEAIRVHGALRGGYLGARRLLRCHPWHPGGYDPVPERQEQACACHRTAKPGK