A6LNH3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib54rhbzykow6fwgyasopd2wjlphpjs6ned6hcqnvviwl4vhv4xre/metadata.json
IPFS of structure file: 
bafybeigs3maw4wsr676os6knrgghkuyrmrsdbfmww2dp6tq3jqp6oybfsy/AF-A6LNH3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #532621 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532621
Accession (UniProt):
A6LNH3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
THERMOSIPHO MELANESIENSIS (STRAIN DSM 12029 / CIP 104789 / BI429)

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 A6LNH3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6LNH3|YIDD_THEM4 Putative membrane protein insertion efficiency factor OS=Thermosipho melanesiensis (strain DSM 12029 / CIP 104789 / BI429) OX=391009 GN=Tmel_1630 PE=3 SV=1 MKKIILALIRFYQKFISPLKPPTCIYTPTCSEYTYQAVKKFGVFKGLFLGFKRILRCNPLHEGGEDPVPDKFYIIKGRRLD