Q8CT13 AF NFT

Dihydrolipoyllysine-residue acetyltransferase component of pyruvate dehydrogenase complex

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6dljlrqscxwckofg33wj7h3fxrgwcioowv23y4e5pu34qorpzqm/metadata.json
IPFS of structure file: 
bafybeiaigbthhegzkouwscslysfolfx2oxfggz6ld6p3fsbe7cijvmbxwi/AF-Q8CT13-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x60b588AdB9eC3Ae190f6dfe62fBd8F2eb45726FD
First NFT owner address (bech32): 
genesis1vz6c3tdeasawry8kmlnzl0v09669wfha0l0tvz
Current NFT ID #280449 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
280449
Accession (UniProt):
Q8CT13
Name::
Dihydrolipoyllysine-residue acetyltransferase component of pyruvate dehydrogenase complex
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS EPIDERMIDIS (STRAIN ATCC 12228 / FDA PCI 1200)

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 Q8CT13 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8CT13|ODP2_STAES Dihydrolipoyllysine-residue acetyltransferase component of pyruvate dehydrogenase complex OS=Staphylococcus epidermidis (strain ATCC 12228 / FDA PCI 1200) OX=176280 GN=pdhC PE=3 SV=1 MAFEFRLPDIGEGIHEGEIVKWFIKAGDTIEEDDVLAEVQNDKSVVEIPSPVSGTVEEVLVDEGTVAVVGDVIVKIDAPDAEEMQFKGHGDDEDSKKEEKEQESPVQEEASSTQSQEKTEVDESKTVKAMPSVRKYARENGVNIKAVNGSGKNGRITKEDIDAYLNGGSSEEGSNTSVASESTSSDVVNASATQALPEGDFPETTEKIPAMRKAIAKAMVNSKHTAPHVTLMDEIDVQELWDHRKKFKEIAAEQGTKLTFLPYVVKALVSALKKYPALNTSFNEEAGEVVHKHYWNIGIAADTDKGLLVPVVKHADRKSIFEISDEINELAVKARDGKLTSEEMKGATCTISNIGSAGGQWFTPVINHPEVAILGIGRIAQKPIVKDGEIVAAPVLALSLSFDHRQIDGATGQNAMNHIKRLLNNPELLLMEG