Q03EL7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifijixzy3uqf3wme6ccfujc53t7vt7caia6r2iqkx43jobqugjdii/metadata.json
IPFS of structure file: 
bafybeib7itqcadqmf4k667ro3aosw6hyw6mgcgcrtsuol4cydj5tggvfky/AF-Q03EL7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6DAA77C4263E74E745cA9c4D8E291e57e8991Cf5
First NFT owner address (bech32): 
genesis1dk4803px8e6ww3w2n3xcu2g72l5fj884walv9j
Current NFT ID #532454 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532454
Accession (UniProt):
Q03EL7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Pediococcus pentosaceus (strain ATCC 25745 / CCUG 21536 / LMG 10740 / 183-1w)

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 Q03EL7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03EL7|YIDD_PEDPA Putative membrane protein insertion efficiency factor OS=Pediococcus pentosaceus (strain ATCC 25745 / CCUG 21536 / LMG 10740 / 183-1w) OX=278197 GN=PEPE_1314 PE=3 SV=1 MKQILLLIIRGYQKFISPMFPPSCRYYPTCSNYSLQAIKRFGAIKGGLMGVARILRCHPFVRGGYDPVPDNFSLKRNQKNSKPRN