Q2VZ16 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibbix24y2gdalxqftoln5xhzwaivlduvz2i3ukhkh5t5h4re67uqy/metadata.json
IPFS of structure file: 
bafybeihrehxkmkac4khp2pxe5fn4tch64rnq62k6rq53avcao7dxvfcgtq/AF-Q2VZ16-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x77ced317A34D07425C0D730f27048EFb6B0c5E7C
First NFT owner address (bech32): 
genesis1wl8dx9arf5r5yhqdwv8jwpywld4schnuautkfz
Current NFT ID #532409 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532409
Accession (UniProt):
Q2VZ16
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
MAGNETOSPIRILLUM MAGNETICUM (STRAIN AMB-1 / ATCC 700264)

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 Q2VZ16 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2VZ16|YIDD_MAGSA Putative membrane protein insertion efficiency factor OS=Magnetospirillum magneticum (strain AMB-1 / ATCC 700264) OX=342108 GN=amb4355 PE=3 SV=1 MNPIGLGMRGLIRLYQLLLSPVLPASCRFTPSCSSYAMQAIEAHGPVGGTWLGLKRICRCHPWNDGGYDPVPPAHTERGGTMCPSRLPE