Q1WUC1 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihvkdddqpqtvhzkqowcndj6toereddby5nofdbcc3xnnlb5jfnbdu/metadata.json
IPFS of structure file: 
bafybeifh7mtyumkroik75eupbm4xan6svxa5zytfznysm4xjslmwcxh3su/AF-Q1WUC1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ed09D80e98fE15DE51C9E7a8896AbF1f2365C3e
First NFT owner address (bech32): 
genesis1dmgfmq8f3ls4meguneag394t78ervhp7h90qf8
Current NFT ID #532399 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532399
Accession (UniProt):
Q1WUC1
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Ligilactobacillus salivarius (strain UCC118)

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 Q1WUC1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1WUC1|YIDD_LIGS1 Putative membrane protein insertion efficiency factor OS=Ligilactobacillus salivarius (strain UCC118) OX=362948 GN=LSL_0605 PE=3 SV=1 MTILKNQINKGIIFLIRCYQKYISPMFPPTCRYYPTCSNYAIDAIKKHGIVKGIIMGIFRILRCNPFVEGGVDVVPEKFTIFRNDDK