P14589 AF NFT

Uncharacterized protein 3' to Asp-rich and His-rich proteins (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigwsgofteps3y2oywqtjn5w2y5gfnq4u5iz7joxfmwbystpwstsk4/metadata.json
IPFS of structure file: 
bafybeihpwlpnxfwn5k7jmrbyuwzvxoc3g4zlpsnd6njlzzv5dcil2rtvvi/AF-P14589-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7c75F0f7d6d136A2b8D4C6C6e9b3D8a697949DF1
First NFT owner address (bech32): 
genesis1036lpa7k6ym29wx5cmrwnv7c56tef803cmwzax
Current NFT ID #528518 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
528518
Accession (UniProt):
P14589
Name::
Uncharacterized protein 3' to Asp-rich and His-rich proteins (Fragment)
Experimental Method:
Predicted structure
Sequence source:
Plasmodium falciparum (isolate fcm17 / Senegal)

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 P14589 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P14589|YDH3_PLAFS Uncharacterized protein 3' to Asp-rich and His-rich proteins (Fragment) OS=Plasmodium falciparum (isolate fcm17 / Senegal) OX=5845 PE=4 SV=1 PQYQFVGAKLFRWWCWRRRGWRRRWWLVIKLMLIETSFALDCEALCFSGVRQV