Q5PKU3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigbjiyvqr52tsa46cwmaro3vuqxub5gb3d3nhuh36gvpmomexvcq4/metadata.json
IPFS of structure file: 
bafybeidndbwjl6xnpptvatnycoix7gz6ptkhvb37rrk3s7qhfsk524pj4i/AF-Q5PKU3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5
First NFT owner address (bech32): 
genesis1cru83slnu2scwn32dkkgp4pfu4famvx4x7nssv
Current NFT ID #532521 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532521
Accession (UniProt):
Q5PKU3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA PARATYPHI A (STRAIN ATCC 9150 / SARB42)

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 Q5PKU3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5PKU3|YIDD_SALPA Putative membrane protein insertion efficiency factor OS=Salmonella paratyphi A (strain ATCC 9150 / SARB42) OX=295319 GN=yidD PE=3 SV=1 MAPPLSPGSRVLIALIRVYQRLISPLLGPHCRFTPTCSSYGIEALRRFGVIKGSWLTVKRVLKCHPLHPGGDDPVPPGPFDTREH