Q9C8P0 AF NFT

Dihydrolipoyllysine-residue acetyltransferase component 5 of pyruvate dehydrogenase complex, chloroplastic

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiecfcrut7pq6cxe3vxynkm4ilsghopmfwyvsgtboye6aineawu6zq/metadata.json
IPFS of structure file: 
bafybeifd47xz3ob7hrh3y3bf3sx24awncgrlpxe2cj3ih4vqccsc4d7vdq/AF-Q9C8P0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6913491A082FA6E53D710FF4F219FF9D39dE1941
First NFT owner address (bech32): 
genesis1dyf5jxsg97nw20t3pl60yx0ln5uaux2p27rn0n
Current NFT ID #280406 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
280406
Accession (UniProt):
Q9C8P0
Name::
Dihydrolipoyllysine-residue acetyltransferase component 5 of pyruvate dehydrogenase complex, 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 Q9C8P0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C8P0|ODP25_ARATH Dihydrolipoyllysine-residue acetyltransferase component 5 of pyruvate dehydrogenase complex, chloroplastic OS=Arabidopsis thaliana OX=3702 GN=EMB3003 PE=2 SV=1 MSRLLQTPFLPSVSLPTKTRSSVTGFRVKPRIIPIQAKIREIFMPALSSTMTEGKIVSWVKSEGDKLNKGESVVVVESDKADMDVETFYDGYLAAIMVEEGGVAPVGSAIALLAETEDEIADAKAKASGGGGGGDSKAPPASPPTAAVEAPVSVEKKVAAAPVSIKAVAASAVHPASEGGKRIVASPYAKKLAKELKVELAGLVGSGPMGRIVAKDVEAVAAGGGVQAAVAVKEVVAAPGVELGSVVPFTTMQGAVSRNMVESLGVPTFRVGYTISTDALDALYKKIKSKGVTMTALLAKATALALAKHPVVNSSCRDGNSFVYNSSINVAVAVAIDGGLITPVLQNADKVDIYSLSRKWKELVDKARAKQLQPQEYNTGTFTLSNLGMFGVDRFDAILPPGTGAIMAVGASQPSVVATKDGRIGMKNQMQVNVTADHRVIYGADLAQFLQTLASIIEDPKDLTF