Q2G2V4 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibiebeszu2ucykzr4jngin5shlt3uu3qmllptmnpxpt6tyjcc2yjy/metadata.json
IPFS of structure file: 
bafybeihu3yxttmlxbaxznqb3hhmgbe2u6ggahewq6aeojxpvlnwrh3bgvi/AF-Q2G2V4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #532556 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532556
Accession (UniProt):
Q2G2V4
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN NCTC 8325 / PS 47)

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 Q2G2V4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2G2V4|YIDD_STAA8 Putative membrane protein insertion efficiency factor OS=Staphylococcus aureus (strain NCTC 8325 / PS 47) OX=93061 GN=SAOUHSC_01914 PE=3 SV=1 MKKIFLAMIHFYQRFISPLTPPTCRFYPTCSEYTREAIQYHGAFKGLYLGIRRILKCHPLHKGGFDPVPLKKDKSASKHSHKHNH