Q5RFJ2 AF NFT

14-3-3 protein theta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibqb4vgcjqrsu4wkkow4d5uwdi6elehfthclh75uelgyesndlfz6e/metadata.json
IPFS of structure file: 
bafybeieebsp45l7ihith3qa55ubqbjehjcnxxn73lz2faxcn4xh7nbtgo4/AF-Q5RFJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaa53776A41fB2e67da75A96E8a53746b6874aAB4
First NFT owner address (bech32): 
genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30
Current NFT ID #121 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
121
Accession (UniProt):
Q5RFJ2
Name::
14-3-3 protein theta
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5RFJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5RFJ2|1433T_PONAB 14-3-3 protein theta OS=Pongo abelii OX=9601 GN=YWHAQ PE=2 SV=2 MEKTELIQKAKLAEQAERYDDMATCMKAVTEQGAELSNEERNLLSVAYKNVVGGRRSAWRVISSIEQKTDTSDKKLQLIKDYREKVESELRSICTTVLELLDKYLIANATNPESKVFYLKMKGDYFRYLAEVACGDDRKQTIDNSQGAYQEAFDISKKEMQPTHPIRLGLALNFSVFYYEILNNPELACTLAKTAFDEAIAELDTLNEDSYKDSTLIMQLLRDNLTLWTSDSAGEECDAAEGAEN