Q3AF08 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiho2lk32r27qrngt77b3jix3ugomfmjajnpvtlk3mzhims63ln7ga/metadata.json
IPFS of structure file: 
bafybeifhdubnl2te6fci4kdwussnqzeeg73e4re6c6tfzx4j2fhenl3nhy/AF-Q3AF08-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA91f62865d77796ecce8F77c3819DD7f3122E46D
First NFT owner address (bech32): 
genesis14y0k9pjawaukan8g7a7rsxwa0ucj9erdcyr86u
Current NFT ID #101159 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101159
Accession (UniProt):
Q3AF08
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
CARBOXYDOTHERMUS HYDROGENOFORMANS (STRAIN ATCC BAA-161 / DSM 6008 / Z-2901)

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 Q3AF08 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3AF08|DNAK_CARHZ Chaperone protein DnaK OS=Carboxydothermus hydrogenoformans (strain ATCC BAA-161 / DSM 6008 / Z-2901) OX=246194 GN=dnaK PE=3 SV=1 MGRIVGIDLGTTNSCIAVMEGGEVIVIPNAEGGRTTPSVVAFGKNGERIVGQVAKRQAITNPERTVISIKRHMGTNYRVKIDDKEYTPQEISAMILQKLKQDAEAYLGEKIEKAVITVPAYFTDAQRQATKDAGRIAGLEVLRIINEPTAAALAYGLDKEGEQTILVYDLGGGTFDVSILEIGDGVFEVKATAGNNRLGGDDFDQRIIDWLVENFKKEHGIDLRNDKMAMQRLKEAAEKAKIELSGVLETQINLPFIAANQNGPLHIDVTLTRAKFNELTADLVEATMGPTRQALADAGLKPEDIDKILLVGGSTRIPAVQEAIRKFFNKEPHKGINPDECVAIGAAIQAAVLAGEVKDVVLLDVTPLSLGIETLGGVFTKLIERNTTIPTSKSQIFTTAADNQTSVEIHVLQGERPMAADNVSLGRFTLTGIPPAPRGVPQIEVRFDIDVNGIVHVSAKDLGTGREQSITITNTSNLSEAEIKRMVEEAERYAEEDRKRKEEVETRNQADSLIYQAEKTLKDFKDKANPDLVARVEKAIAELREAMNSKDVQLMRAKMEELTKPLYELTSSIYQQSANQNQTQTGTNTQGNVYDADYKVNDDK