Q6NEY9 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicdhaeyn4dvio4e4zwrp3625kqep64tbf6aot5g25owiazjnku534/metadata.json
IPFS of structure file: 
bafybeifo6txiikimftj3ov2pk6cto3r3bjrtkoimaupgcd7wpucet4lcaq/AF-Q6NEY9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEb62959541aaa98514c2827d35D4d838ef114D91
First NFT owner address (bech32): 
genesis1ad3ft92p425c29xzsf7nt4xc8rh3znv3wvw4mj
Current NFT ID #101213 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101213
Accession (UniProt):
Q6NEY9
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
CORYNEBACTERIUM DIPHTHERIAE (STRAIN ATCC 700971 / NCTC 13129 / BIOTYPE GRAVIS)

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 Q6NEY9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6NEY9|DNAK_CORDI Chaperone protein DnaK OS=Corynebacterium diphtheriae (strain ATCC 700971 / NCTC 13129 / Biotype gravis) OX=257309 GN=dnaK PE=3 SV=1 MGRAVGIDLGTTNSVVSVLEGGEPQVIANSEGSRTTPSVVAFAKNGEVLVGQSAKNQAVTNVDRTIRSVKRHVGTDWTIAIDDKKYTSQEISARTLMKLKRDAEAYLGEDVTDAVITVPAYFSDAQRQATKEAGQIAGLNVLRIVNEPTAAALAYGLEKGEKEQTILVFDLGGGTFDVSLLEIGDGVVEVRATAGDNELGGDDWDQRIVDWLVEKFKTAQGVDLSKDKMAMQRLREAAEKAKIELSSSQSANVNLPYITVDADKNPLFLDETLSRTEFQRITQDLLDRTKTPFNQVIKDAGVTVSEIDHVVLVGGSTRMPAVSELVKELTGGREPNKGVNPDEVVAVGAALQAGVLRGEVKDVLLLDVTPLSLGIETKGGVMTKLIERNTTIPTKRSETFTTADDNQPSVQIQVFQGEREIAAHNKLLGSFELGGIAPAPRGVPQIEVTFDIDANGIVHVTAKDKGTGKENTIKIQDGSGLSQEEIDRMVKDAEAHAEEDKKRREEQETRNSAESMAYQTRKFLDENGEKVSEEIKTKVTEAADAVDEALKGEDIEAIKTAVEKLSTESQEMGKAIYEAEAANAGAADATNVDPNVVDAEVVEDDDKDGNK