Q9C500 AF NFT

WPP domain-containing protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaemjjzige53on4uoe6iunk7f3vlohw7jpwxpzecvm5f3p23ut4cm/metadata.json
IPFS of structure file: 
bafybeia7x3hpjapakontyios6xnen5rie536ee5plm3bi7etbtwebjvpla/AF-Q9C500-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #500202 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
500202
Accession (UniProt):
Q9C500
Name::
WPP domain-containing protein 2
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9C500 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C500|WPP2_ARATH WPP domain-containing protein 2 OS=Arabidopsis thaliana OX=3702 GN=WPP2 PE=1 SV=1 MAETAETINTTISSPPPESESSTTISAMTDPTSQEAASKDTDLTKEAESEKKPGGISLRIWPPTQKTRDAVLNRLIETLSTESILSKRYGTLKSDDATTVAKLIEEEAYGVASNAVSSDDDGIKILELYSKEISKRMLESVKARSNASVGNGSVEDANTDASEVSKDDAGPASEEEKSEA