C3PN67 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigsqitsy3vr3kewgpsqoy72jdzj2wshvjhi52qkjeowpuxaod5m6q/metadata.json
IPFS of structure file: 
bafybeicyuhu6hzzg3rnniszqirlekuezjacokih5wji7zaysufikgmrjae/AF-C3PN67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97EfFf2d74994e28D3b69b1503Bd9c292B2Df480
First NFT owner address (bech32): 
genesis1jlhl7tt5n98z35aknv2s80vu9y4jmayqa9azdg
Current NFT ID #532502 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532502
Accession (UniProt):
C3PN67
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA AFRICAE (STRAIN ESF-5)

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 C3PN67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C3PN67|YIDD_RICAE Putative membrane protein insertion efficiency factor OS=Rickettsia africae (strain ESF-5) OX=347255 GN=RAF_ORF0447 PE=3 SV=1 MTRILLLLLGFYQYFISPLLGNNCRFHPTCSEYAKEAISMHGSIKGLWFTFKRIIKCQPFCNGGYDTVPISIKNSKPLNKKI