Q97NX8 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiapffrezlrttit5mty2ggtkkj5hx4gn5mtxra6t74zpmhxrjaxsl4/metadata.json
IPFS of structure file: 
bafybeiafkzwjvmttxanb4cjlufhempvq6hs7jrno5oogmgnhav7vzotfhe/AF-Q97NX8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA7381fE9bA15c95992d24BC2A3Bb44aB0Cd83e3f
First NFT owner address (bech32): 
genesis15uupl6d6zhy4nykjf0p28w6y4vxds03l7s0hxg
Current NFT ID #532594 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532594
Accession (UniProt):
Q97NX8
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS PNEUMONIAE SEROTYPE 4 (STRAIN ATCC BAA-334 / TIGR4)

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 Q97NX8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q97NX8|YIDD_STRPN Putative membrane protein insertion efficiency factor OS=Streptococcus pneumoniae serotype 4 (strain ATCC BAA-334 / TIGR4) OX=170187 GN=SP_1873 PE=1 SV=1 MKRILIAPVRFYQRFISPVFPPSCRFELTCSNYMIQAIEKHGFKGVLMGLARILRCHPWSKTGKDPVPDRFSLKRNQEGE