Q9AAX9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidhz4rljcshgkwzes33leb7my4x2khru4hb6hgxr6fu5snoqm5f7y/metadata.json
IPFS of structure file: 
bafybeiblqpjpgd5sbhh4h7vrhli7qcksvzkd4te6igiai2nx5sqodz3auy/AF-Q9AAX9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x114a0357b11cFf6EBe7075749Ec3390CD780d178
First NFT owner address (bech32): 
genesis1z99qx4a3rnlka0nsw46faseepntcp5tcxvlx9e
Current NFT ID #532251 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532251
Accession (UniProt):
Q9AAX9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
CAULOBACTER VIBRIOIDES (STRAIN ATCC 19089 / CB15)

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 Q9AAX9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9AAX9|YIDD_CAUVC Putative membrane protein insertion efficiency factor OS=Caulobacter vibrioides (strain ATCC 19089 / CB15) OX=190650 GN=CC_0463 PE=3 SV=1 MTFYERTVDLGLRAYKLTLSPLIGRQCRFTPSCSEYTAAALKDHGPLKGSWLGLRRICRCNPFGGSGYDPPPPRHQPRKWKCEE