P61470 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigkt6mcy6nq67raiuipnfyzs3ihi2xtxppwkkd3mlv3daqbansone/metadata.json
IPFS of structure file: 
bafybeigosiruqud2d2bjsz2j2agi35q2jf63af4owfyrkiyaarxvumcfcm/AF-P61470-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaa53776A41fB2e67da75A96E8a53746b6874aAB4
First NFT owner address (bech32): 
genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30
Current NFT ID #532379 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532379
Accession (UniProt):
P61470
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Lactobacillus johnsonii (strain CNCM I-12250 / La1 / NCC 533)

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 P61470 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P61470|YIDD_LACJO Putative membrane protein insertion efficiency factor OS=Lactobacillus johnsonii (strain CNCM I-12250 / La1 / NCC 533) OX=257314 GN=LJ_0944 PE=3 SV=1 MNKLLIGLVNVYKKFISPILPPTCRYYPTCSSYMIDALKKHGAILGLIMGLARILRCNPFIKGGVDPVPDYFTLRRNPHPERYEDEIIAQAFHSNKK