A6LGE9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicpdgdxcjuvdcwwc7v5hlawomm7t32i5gxqaezle4tekxojm6os7u/metadata.json
IPFS of structure file: 
bafybeiahuayss5cmuomrvs6gf7pnrgbgyywdhzb27lmfwesg5pcf5op674/AF-A6LGE9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c
First NFT owner address (bech32): 
genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx
Current NFT ID #532446 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532446
Accession (UniProt):
A6LGE9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
PARABACTEROIDES DISTASONIS (STRAIN ATCC 8503 / DSM 20701 / CIP 104284 / JCM 5825 / NCTC 11152)

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 A6LGE9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6LGE9|YIDD_PARD8 Putative membrane protein insertion efficiency factor OS=Parabacteroides distasonis (strain ATCC 8503 / DSM 20701 / CIP 104284 / JCM 5825 / NCTC 11152) OX=435591 GN=BDI_3056 PE=3 SV=1 MRRFFTTLLLLPVYFYKYCISLMTPASCRYTPTCSEYAVQALKKYGPVKGLYLAVKRILRCHPWGGSGYDPVP