Q5HNB4 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifii22oucji2bx7bolmahph776enn6zg2zzjahjhft6vky5yhx52i/metadata.json
IPFS of structure file: 
bafybeids5xs3u3ybszfwlx6omxu6p6eyprufqeqs7b5hnsisvqgv24cxfm/AF-Q5HNB4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAB101f7Cfd0D22Bf85F642916550b92ff64174f9
First NFT owner address (bech32): 
genesis14vgp7l8ap53tlp0kg2gk259e9lmyza8eh4c2zx
Current NFT ID #532567 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532567
Accession (UniProt):
Q5HNB4
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS EPIDERMIDIS (STRAIN ATCC 35984 / RP62A)

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 Q5HNB4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5HNB4|YIDD_STAEQ Putative membrane protein insertion efficiency factor OS=Staphylococcus epidermidis (strain ATCC 35984 / RP62A) OX=176279 GN=SERP1356 PE=3 SV=1 MKKILLSLVVFYQRFISPLTPPTCRFYPTCSQYTREAIEYHGALKGLYLGVRRILKCHPLHKGGFDPVPLKKDKNSKTTHHH