Q8G6J7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibmge64jhiqmqvdxoi74jjtvgyzusfpaw53vaf4b5oiguqujhg3u4/metadata.json
IPFS of structure file: 
bafybeibsqcrxrktomlz3vpr4bpcexm5yklrq54ygysyfae753egswd3cgi/AF-Q8G6J7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf506A7D0abAEeA4fB2c7941B1a712c251c7EF300
First NFT owner address (bech32): 
genesis175r2059t4m4ylvk8jsd35ufvy5w8aucqd32h3w
Current NFT ID #532206 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532206
Accession (UniProt):
Q8G6J7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Bifidobacterium longum (strain NCC 2705)

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 Q8G6J7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8G6J7|YIDD_BIFLO Putative membrane protein insertion efficiency factor OS=Bifidobacterium longum (strain NCC 2705) OX=206672 GN=BL0643 PE=3 SV=1 MTASFKAVMIGGVRWYQQHISANTPPCCKYYPTCSNYAIEALERYGAFKGGVLAVLRLLRCRPWSRGGIDDVPQRYSVFYRFSWSKAHEEPRLTPLATTQREAQR