A3KPF8 AF NFT

Pentatricopeptide repeat-containing protein At1g79080, chloroplastic

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidxbhrjocy335hjtjnn67kn6rihwkl7sdy2fhoexxbdyun43iey44/metadata.json
IPFS of structure file: 
bafybeib7jajuw4pn3hoeiuq4tyetrdy7syawc3ogeuaa46ozncw5h6zysy/AF-A3KPF8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5DC8e905727f28f8E14d8601Ab9daaa77d7eaB40
First NFT owner address (bech32): 
genesis1thywjptj0u503c2dscq6h8d25a7ha26qdgct27
Current NFT ID #305568 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
305568
Accession (UniProt):
A3KPF8
Name::
Pentatricopeptide repeat-containing protein At1g79080, chloroplastic
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 A3KPF8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3KPF8|PP131_ARATH Pentatricopeptide repeat-containing protein At1g79080, chloroplastic OS=Arabidopsis thaliana OX=3702 GN=At1g79080 PE=2 SV=1 MSTLLNSVLSMASPESSPRKAVGFVSHIPSGFLHFSSVSKGVARVLASTQITLSPKDSAFTITGSSWKPDLDSGSFSDDPRSDEPNLSDSFSHLESLVTGGHKPNVAHSTQLLYDLCKANRLKKAIRVIELMVSSGIIPDASAYTYLVNQLCKRGNVGYAMQLVEKMEDHGYPSNTVTYNALVRGLCMLGSLNQSLQFVERLMQKGLAPNAFTYSFLLEAAYKERGTDEAVKLLDEIIVKGGEPNLVSYNVLLTGFCKEGRTDDAMALFRELPAKGFKANVVSYNILLRCLCCDGRWEEANSLLAEMDGGDRAPSVVTYNILINSLAFHGRTEQALQVLKEMSKGNHQFRVTATSYNPVIARLCKEGKVDLVVKCLDEMIYRRCKPNEGTYNAIGSLCEHNSKVQEAFYIIQSLSNKQKCCTHDFYKSVITSLCRKGNTFAAFQLLYEMTRCGFDPDAHTYSALIRGLCLEGMFTGAMEVLSIMEESENCKPTVDNFNAMILGLCKIRRTDLAMEVFEMMVEKKRMPNETTYAILVEGIAHEDELELAKEVLDELRLRKVIGQNAVDRIVMQFNLD