Q7NJB9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3p6bujac5tzydkrgpdhutcgfbocofkaizprzhb2z6mxiydoqv7a/metadata.json
IPFS of structure file: 
bafybeibwplo3425k5fkvblvformmkwenac44squ5ot2kyyoqmbsgpq77oi/AF-Q7NJB9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78a503a9F23864BFbc868D392a218431330dD1fd
First NFT owner address (bech32): 
genesis10zjs820j8pjtl0yx35uj5gvyxyesm50ax6ld78
Current NFT ID #532355 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532355
Accession (UniProt):
Q7NJB9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
GLOEOBACTER VIOLACEUS (STRAIN ATCC 29082 / PCC 7421)

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 Q7NJB9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7NJB9|YIDD_GLOVI Putative membrane protein insertion efficiency factor OS=Gloeobacter violaceus (strain ATCC 29082 / PCC 7421) OX=251221 GN=gsl1913 PE=3 SV=1 MELVRRAATGAIRFYQRFVSPLTPPTCRYVPTCSEYTRQAIERFGVAAGIWLGTKRLCRCHPLHPGGYDPVPERRSVR