Q80ZC9 AF NFT

Psoriasis susceptibility 1 candidate gene 2 protein homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaajlumoy6jlocthdivzy2z6nkhyrfegxp76bdvwpzfmefrjsnydy/metadata.json
IPFS of structure file: 
bafybeigpanbtgei246yinlrcdupzauiu2jeanvjcew4vxksxcvvmrub2km/AF-Q80ZC9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA09372C68486A4D623540780401ED026eEcdc381
First NFT owner address (bech32): 
genesis15zfh935ys6jdvg65q7qyq8ksymhvmsup49g8qg
Current NFT ID #312039 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
312039
Accession (UniProt):
Q80ZC9
Name::
Psoriasis susceptibility 1 candidate gene 2 protein homolog
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 Q80ZC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q80ZC9|PS1C2_MOUSE Psoriasis susceptibility 1 candidate gene 2 protein homolog OS=Mus musculus OX=10090 GN=Psors1c2 PE=2 SV=1 MLTWKLLGLLVLCLCAGGISGNGDPSPGSTDTHEEEDSPPLPLGPPIPGDPWPGAPPLFDEPPPPGSNRPWRDLPDSGAWPPKPPSTDPPKPPLPDDPWPAGTQPPENPWPPAPEMDHESQEEPDLDPPQEEYR