Q6GFR2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicn75ejjmbmajemmjve7axqc5lnylvp2ndzxnn345soie2ih4ennm/metadata.json
IPFS of structure file: 
bafybeicgzziosazqijg3nb2mpzkgpmseevduxjlda4jxydcdg3kfwceocy/AF-Q6GFR2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x772cDF339c71f2E91A7B5C3137d74bF9134420C6
First NFT owner address (bech32): 
genesis1wukd7vuuw8ewjxnmtscn046tlyf5ggxxn39dc2
Current NFT ID #532562 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532562
Accession (UniProt):
Q6GFR2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN MRSA252)

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 Q6GFR2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6GFR2|YIDD_STAAR Putative membrane protein insertion efficiency factor OS=Staphylococcus aureus (strain MRSA252) OX=282458 GN=SAR1875 PE=3 SV=1 MKKIFLAMIHFYQRFISPLTPPTCRFYPTCSEYTREAIQYHGAFKGLYLGIRRILKCHPLHKGGFDPVPLKKDKSASKHSHKHNH