Q9W740 AF NFT

Noggin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia5kkyfbz3kvrlebafqj65wcyfndaveyf5pp4xemunld5ix7fofv4/metadata.json
IPFS of structure file: 
bafybeig2y36reme2jg7fklschputqwqqfznvwarnafyg7u3erzykefkjoy/AF-Q9W740-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #267030 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
267030
Accession (UniProt):
Q9W740
Name::
Noggin-2
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q9W740 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W740|NOGG2_DANRE Noggin-2 OS=Danio rerio OX=7955 GN=nog2 PE=2 SV=1 MGSITRALPLLLLLLLCAHGTASQHHLRLRPLPSEGLPVPDLIENPDPEHDPREQDLSEKTLLKKLGSNFDANFMSIHLPAQLNASAPPELPRLPMPAELKKLDLTETPYGRRVKVGKKARRKFLQWLWMYTHCPVLYTWKDLGLRFWPRYIKEGNCFSERSCSFPEGMSCKPVKAVTKTFLRWYCQGFMRQKYCTWIQVQYPIISQCKCSC