Q8TQR2 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicvm5cwvmpdws2cwl4qloekwsmerpv2khdzigkt22a7q4ngr2bugi/metadata.json
IPFS of structure file: 
bafybeifduhluoq6r7vxijllpl3cdzjlrg2metrk4hyqmjsplk27t6c3bq4/AF-Q8TQR2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2bC32f18fAE37A281d59d6b3aF4271fbb7011463
First NFT owner address (bech32): 
genesis190pj7x86udazs82e66e67sn3lwmsz9rrz29ljz
Current NFT ID #101410 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101410
Accession (UniProt):
Q8TQR2
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
METHANOSARCINA ACETIVORANS (STRAIN ATCC 35395 / DSM 2834 / JCM 12185 / C2A)

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 Q8TQR2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8TQR2|DNAK_METAC Chaperone protein DnaK OS=Methanosarcina acetivorans (strain ATCC 35395 / DSM 2834 / JCM 12185 / C2A) OX=188937 GN=dnaK PE=3 SV=1 MAKILGIDLGTTNSCMAVMEGGDAVVLPNAEGSRTTPSVVGFSKKGEKLVGQVAKRQAISNPENTVYSIKRHMGEANYKVTLNGKTYTPQEISAMILQKLKTEAEAYLGETIKQAVITVPAYFNDAQRQATKDAGSIAGLEVLRIINEPTAASLAYGLDKGDVDQKILVYDLGGGTFDVSILELGGGVFEVKSTSGDTHLGGDDFDQRVIDHLLAEFKKTEGIDLSKDKAILQRLKDAAEKAKIELSGVTVTNINLPFLTVGPDGEPKHMDIDLTRAQFQKMTEDLLEKTLVSMRRALSDSKLTPNDLDKVILVGGATRMPAVVELVENFTGKKPYKNINPDEAVAIGAAIQAGVLGGEVKDVLLLDVTPLTLGIETLGGIATPLIQRNTTIPTKKSQIFSTAADNQPSVEIHVLQGERGIASENKTLGRFTLDGIPPAPRGIPQIEVAFDIDANGILHVNAKDLGTGKEQSISIQKPGGLSDAEIERMVKDAELHAEEDKKRKEEVETRNNAEALINAAEKTIKEAGDVATEDQKSKVNAAIEDLKKALEGKDTEEVKAKTEALQEAVYPISTAMYQKAQQEAQQASGEAGSADARGPDETVVDADYEVVDDEKRK