Q9ASZ8 AF NFT

Pentatricopeptide repeat-containing protein At1g12620

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidpcehyta6x4k7ly6pbcfuuypl55gmkjszf3ymyydjvkkhwicvdde/metadata.json
IPFS of structure file: 
bafybeihbtr4ihfvvd6ktrtwcnbpj3fszvchrvvhmrlrczbuzlmxqmghfha/AF-Q9ASZ8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5f57163A7F1fa01D45359BDa541E09d1501B708F
First NFT owner address (bech32): 
genesis1tat3vwnlr7sp63f4n0d9g8sf69gpkuy0ujsj9w
Current NFT ID #307481 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
307481
Accession (UniProt):
Q9ASZ8
Name::
Pentatricopeptide repeat-containing protein At1g12620
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 Q9ASZ8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ASZ8|PPR37_ARATH Pentatricopeptide repeat-containing protein At1g12620 OS=Arabidopsis thaliana OX=3702 GN=At1g12620 PE=2 SV=1 MRGLIQTRLLETGTLRTALFLSCYGRVFSSVSDGKGKVSYRERLRSGIVDIKEDDAVDLFQEMTRSRPRPRLIDFSRLFSVVARTKQYDLVLDLCKQMELKGIAHNLYTLSIMINCCCRCRKLSLAFSAMGKIIKLGYEPDTVTFSTLINGLCLEGRVSEALELVDRMVEMGHKPTLITLNALVNGLCLNGKVSDAVLLIDRMVETGFQPNEVTYGPVLKVMCKSGQTALAMELLRKMEERKIKLDAVKYSIIIDGLCKDGSLDNAFNLFNEMEIKGFKADIIIYTTLIRGFCYAGRWDDGAKLLRDMIKRKITPDVVAFSALIDCFVKEGKLREAEELHKEMIQRGISPDTVTYTSLIDGFCKENQLDKANHMLDLMVSKGCGPNIRTFNILINGYCKANLIDDGLELFRKMSLRGVVADTVTYNTLIQGFCELGKLEVAKELFQEMVSRRVRPDIVSYKILLDGLCDNGEPEKALEIFEKIEKSKMELDIGIYNIIIHGMCNASKVDDAWDLFCSLPLKGVKPDVKTYNIMIGGLCKKGSLSEADLLFRKMEEDGHSPNGCTYNILIRAHLGEGDATKSAKLIEEIKRCGFSVDASTVKMVVDMLSDGRLKKSFLDMLS