Q8NLY6 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifeweboik2zz2iqgwsuqx72wcixc36cbu4qqkf5xvzoovfccmgava/metadata.json
IPFS of structure file: 
bafybeidubfritiphgg4sx3eagzv6zmo3cgvxrxeyyhgsgp5n5x7mftlccq/AF-Q8NLY6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e9272eA74C368dd3e84cE9A548B8C44a833C74C
First NFT owner address (bech32): 
genesis1t6f896n5cd5d605ye6d9fzuvgj5r836v2rmnsp
Current NFT ID #101216 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101216
Accession (UniProt):
Q8NLY6
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025)

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 Q8NLY6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8NLY6|DNAK_CORGL Chaperone protein DnaK OS=Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025) OX=196627 GN=dnaK PE=3 SV=1 MGRAVGIDLGTTNSVVSVLEGGEPVVIANAEGSRTTPSVVAFAKNGEVLVGQSAKNQAVTNVDRTIRSVKRHIGTDWSVAIDDKNYTSQEISARTLMKLKRDAEAYLGEDVTDAVITVPAYFEDSQRQATKEAGQIAGLNVLRIVNEPTAAALAYGLEKGEQEQTILVFDLGGGTFDVSLLEIGDGVVEVRATSGDNELGGDDWDQRIVDWLVEKFQSSNGIDLTKDKMALQRLREAAEKAKIELSSSQSANINLPYITVDADKNPLFLDETLSRAEFQRITQDLLARTKTPFNQVVKDAGVSVSEIDHVVLVGGSTRMPAVTELVKELTGGREPNKGVNPDEVVAVGAALQAGVLRGEVKDVLLLDVTPLSLGIETKGGVMTKLIERNTTIPTKRSETFTTAEDNQPSVQIQVFQGEREIATANKLLGSFELGGIAPAPRGVPQIEVTFDIDANGIVHVTAKDKGTGKENTITIQDGSGLSQDEIDRMIKDAEAHADEDKKRREEQEVRNNAESLVYQTRKFVEENSEKVSEDLKAKVEEAAKGVEEALKGEDLEAIKAAVEKLNTESQEMGKAIYEADAAAGATQADAGAEGAADDNVVDAEVVEDDAADNGEDKK