B7GPF6 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiewa3ntxnhjjnluwrqhuo5ki3blcgxj27hgxix6dqoyie3c2ifeau/metadata.json
IPFS of structure file: 
bafybeifrtzcqftyf6z4vvl3yzwwfsraf2muplqwycsefe2vsqt73jzat4q/AF-B7GPF6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #532207 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532207
Accession (UniProt):
B7GPF6
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BIFIDOBACTERIUM LONGUM SUBSP. INFANTIS (STRAIN ATCC 15697 / DSM 20088 / JCM 1222 / NCTC 11817 / S12)

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 B7GPF6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7GPF6|YIDD_BIFLS Putative membrane protein insertion efficiency factor OS=Bifidobacterium longum subsp. infantis (strain ATCC 15697 / DSM 20088 / JCM 1222 / NCTC 11817 / S12) OX=391904 GN=BLIJ_2568.1 PE=3 SV=1 MTASFKAVMIGGVRWYQQRISANTPPCCKYYPTCSNYAIEALERYGAFKGGVLAVLRLLRCRPWSRGGIDDVPQRYSIFYRFSWSKAHEEPRLTPLATTQREAQR