P69109 AF NFT

Progonadoliberin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifzlomkgcibo7lbsowpkqts4rj5wy3t5zuzjn4kkiznybvpazu354/metadata.json
IPFS of structure file: 
bafybeih2x5pcs5zzb2zoxpfalcyxopd6kdaykjoutpzza6iy7ajwyxfoe4/AF-P69109-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3098b7aCb5AF3236652Aa92862aD247da4A4e55b
First NFT owner address (bech32): 
genesis1xzvt0t944uervef24y5x9tfy0kj2fe2m8rsx0s
Current NFT ID #155008 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
155008
Accession (UniProt):
P69109
Name::
Progonadoliberin-3
Experimental Method:
Predicted structure
Sequence source:
Oncorhynchus nerka

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 P69109 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P69109|GON3_ONCNE Progonadoliberin-3 OS=Oncorhynchus nerka OX=8023 GN=gnrh3 PE=2 SV=1 MDLSNRTVVQVVVLALVAQVTLSQHWSYGWLPGGKRSVGELEATIKMMDTGGVVALPEETSAHVSERLRPYDVILKKWMPHK