Q9D0F3 AF NFT

Protein ERGIC-53

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig3cr2xzowz66r4gfeu2p73e7kzztnpdmpkobfra7hkoskdqt6hyy/metadata.json
IPFS of structure file: 
bafybeihsujx2c3fjcr65mi23ehyxaa7c2gxb7f76n4swwutikxbzakp3my/AF-Q9D0F3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #215654 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
215654
Accession (UniProt):
Q9D0F3
Name::
Protein ERGIC-53
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9D0F3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D0F3|LMAN1_MOUSE Protein ERGIC-53 OS=Mus musculus OX=10090 GN=Lman1 PE=1 SV=1 MAVSRRRVPQAGARSFFCALLLSFSQFTGSDGTGGDAAAPGAAGTQAELPHRRFEYKYSFKGPHLVQSDGTVPFWAHAGNAIPSADQIRIAPSLKSQRGSVWTKAKAAFENWEVEVTFRVTGRGRIGADGLAIWYTENQGLDGPVFGSADTWNGVGIFFDSFDNDGKKNNPAIVVIGNNGQINYDHQNDGATQALASCQRDFRNKPYPVRAKITYYQKTLTVMINNGFTPDKNDYEFCAKVENMVIPTQGHFGISAATGGLADDHDVLSFLTFQLTEPGKEPPTAEKDISEKEKEKYQEEFEHFQQELDKKKEEFQKGHPDLQGQPADDIFESIGDRELRQVFEGQNRIHLEIKQLNRQLDMILDEQRRYVSSLTEEISRRGAGTPGQPGQVSQQELDTVVKSQQEILRQVNEVKNSMSETVRLVSGIQHPGSAGVYETTQHFMDIKEHLHVVKRDIDSLAQRSMPSNEKPKCPDLPPFPSCLSTIHFVIFVVVQTVLFVGYIMYRTQQEAAAKKFF