Q9DG80 AF NFT

Gonadotropin subunit beta-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifbfhvq7reli7oq5yiksf7nkanelf7mbcjwjhzvklnd337ibqolom/metadata.json
IPFS of structure file: 
bafybeiavxr5bykghs24edqthkvversznwy6pemsspelisgcqn2klcvlzwm/AF-Q9DG80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1deF5d0757faedfe2A626225e579ACe5e2e425d2
First NFT owner address (bech32): 
genesis1rhh46p6hltklu2nzvgj727dvuh3wgfwj5xjqxp
Current NFT ID #160999 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
160999
Accession (UniProt):
Q9DG80
Name::
Gonadotropin subunit beta-2
Experimental Method:
Predicted structure
Sequence source:
ICTALURUS PUNCTATUS

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 Q9DG80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DG80|GTHB2_ICTPU Gonadotropin subunit beta-2 OS=Ictalurus punctatus OX=7998 GN=cgbb PE=2 SV=1 MSVPASSFLLLCFLMNSFSPAQSYILPHCEPVNETVSVEKDGCPKCLVFQTAICSGHCLTKEPVYKSPFSNIYQHVCTYRDVRYETVRLPDCRPGVDPHVTYPVALSCECTLCTMDTSDCTIESLNPDFCMTQKEYILDY