Q9W741 AF NFT

Noggin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeienp4yig7hszw4irnmwuq2lt4h5z7vfpo3mmlfz4oqja4h7abfsfu/metadata.json
IPFS of structure file: 
bafybeighas523svfmkiwc2uiqrv7pnnbtqy4lqwof75l5nm3ngv77vskk4/AF-Q9W741-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x12D7Fa71aFb7D6578bf80EaC676053C0BCb65fE5
First NFT owner address (bech32): 
genesis1zttl5ud0klt90zlcp6kxwczncz7tvhl9vtjkr2
Current NFT ID #267029 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
267029
Accession (UniProt):
Q9W741
Name::
Noggin-1
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 Q9W741 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W741|NOGG1_DANRE Noggin-1 OS=Danio rerio OX=7955 GN=nog1 PE=2 SV=1 MDFPRFLLSAYLLLLSFAQCQHYYLLRPIPSDTLPLLELKEDPDPIYDPREKDLNETELRSALGDFDSRFLSVGPPQDRYAGNEDLDEQELQLNLAGMMPKDIKNLDFDAPWGKKRKASKKLKRRLQMWLWSYSFCPVLYAWNDLGSRFWPRFVRAGSCYTKRSCSVPEGMVCKPAKSTHITLLRWRCVARRGALKCAWIPVQYPIITECKCSCAN