Q72LI3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiczwjql2qhsf3pxuvtooaxqcp3svmydqdc7nugmyqamygmhodosru/metadata.json
IPFS of structure file: 
bafybeicos7xldfmy2odnds6sj4d7siatnv6e5im4vslxpsmjzhpbnbdsqe/AF-Q72LI3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7D34c99F3c1FD7D95D8D93F7B8771bc2e53E59a9
First NFT owner address (bech32): 
genesis1056vn8eurltajhvdj0mmsacmctjnukdfuyg6c9
Current NFT ID #532629 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532629
Accession (UniProt):
Q72LI3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Thermus thermophilus (strain ATCC BAA-163 / DSM 7039 / HB27)

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 Q72LI3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q72LI3|YIDD_THET2 Putative membrane protein insertion efficiency factor OS=Thermus thermophilus (strain ATCC BAA-163 / DSM 7039 / HB27) OX=262724 GN=TT_C0076 PE=3 SV=1 MREVLILLIRFYRRFLSPLKPRTCRFHPTCSAYALEALERHGAFWGSYLAVRRVLRCHPWNPGGLDPVPVLFPPGKVRGGAE