Q9YGH2 AF NFT

Gonadotropin subunit beta-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiflanrkfqda5il46cey3qecrct4rz7t46n3juazekr2shubuxn3di/metadata.json
IPFS of structure file: 
bafybeifddso6pysyaisrazy5l6qurnjyeqwaa3srn53ztux3gc6lyqqkti/AF-Q9YGH2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa4785222Bbe47502ED0a362Ddab993F3F3B268aC
First NFT owner address (bech32): 
genesis153u9yg4mu36s9mg2xcka4wvn70emy69v6rl83x
Current NFT ID #160993 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
160993
Accession (UniProt):
Q9YGH2
Name::
Gonadotropin subunit beta-2
Experimental Method:
Predicted structure
Sequence source:
Clupea pallasii

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 Q9YGH2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9YGH2|GTHB2_CLUPA Gonadotropin subunit beta-2 OS=Clupea pallasii OX=30724 GN=cgbb PE=2 SV=1 MARIPECTILLLLCMCVLAVPAQCFNLQPCVLVNETVSVEKEGCPRCLVFRTTICSGHCPTKEPVYKSPFSVVNQHVCTYGNFRYETIRLPDCADGVDPLVTYPVALSCECSLCSMDTSDCTIESVEPDFCMSQRLPVYESQKPSLYDY