Q2FFV1 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiddeo2m2mk3kw525zo3zs6v7ktbmawfzrawbrqred2gpuifqnzvlm/metadata.json
IPFS of structure file: 
bafybeifle2trd2lqrooa5cazrdby2mh5cvhpxzfm5c2icvihcc2zf7wc5i/AF-Q2FFV1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #532555 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532555
Accession (UniProt):
Q2FFV1
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN USA300)

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 Q2FFV1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2FFV1|YIDD_STAA3 Putative membrane protein insertion efficiency factor OS=Staphylococcus aureus (strain USA300) OX=367830 GN=SAUSA300_1736 PE=3 SV=1 MKKIFLAMIHFYQRFISPLTPPTCRFYPTCSEYTREAIQYHGAFKGLYLGIRRILKCHPLHKGGFDPVPLKKDKSASKHSHKHNH