Q0HPE5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib55yiggnjmxdxevjjzp6lmgu6ptc5umi5roxfdwyr5szbccuj6tu/metadata.json
IPFS of structure file: 
bafybeiafdvjqy4hhyhk64ysrngodvk7xwapzzysusgayu66guai5haab3m/AF-Q0HPE5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #532543 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532543
Accession (UniProt):
Q0HPE5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Shewanella sp. (strain MR-7)

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 Q0HPE5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0HPE5|YIDD_SHESR Putative membrane protein insertion efficiency factor OS=Shewanella sp. (strain MR-7) OX=60481 GN=Shewmr7_4033 PE=3 SV=1 MAQTQSPLQWLATTFIRGYQIFISPLLGPRCRFNPTCSHYAIEAIKVHGTAKGCWFALKRILKCHPLHPGGSDPVPPKNDRCNK