Q7VSD7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihilvwbktxssoi4tmu663exdft23jeg22zxomdcjmp5sm7eyaan4a/metadata.json
IPFS of structure file: 
bafybeibsmenxex2pda4zqwf33zluxww47tztdfugodoysldfdq3qhlmt5e/AF-Q7VSD7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #532214 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532214
Accession (UniProt):
Q7VSD7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PERTUSSIS (STRAIN TOHAMA I / ATCC BAA-589 / NCTC 13251)

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 Q7VSD7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VSD7|YIDD_BORPE Putative membrane protein insertion efficiency factor OS=Bordetella pertussis (strain Tohama I / ATCC BAA-589 / NCTC 13251) OX=257313 GN=BP0494 PE=3 SV=1 MIRRLLIAPIRFYRYFLSPWVGRQCRFTPTCSAYAIEAIERHGAWRGLWLAARRIGRCHPWSPGGYDPVPPGHGAGAQACCAHRHRTEPD