Q5NPS6 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicehiyukzzwsdt7smwwmqxgx2r6tvilgrenrjjhne2rbfr7ojggi4/metadata.json
IPFS of structure file: 
bafybeihfyan2cvvw575wxknhregx77exgxqngwyboffx64uvx7mejsr54i/AF-Q5NPS6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA19b19c27F30AE45Baa3dcf37fdF638B250Bf23E
First NFT owner address (bech32): 
genesis15xd3nsnlxzhytw4rmnehlhmr3vjshu376q2rs0
Current NFT ID #101783 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
101783
Accession (UniProt):
Q5NPS6
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
ZYMOMONAS MOBILIS SUBSP. MOBILIS (STRAIN ATCC 31821 / ZM4 / CP4)

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 Q5NPS6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5NPS6|DNAK_ZYMMO Chaperone protein DnaK OS=Zymomonas mobilis subsp. mobilis (strain ATCC 31821 / ZM4 / CP4) OX=264203 GN=dnaK PE=3 SV=1 MGKVIGIDLGTTNSCVAVMEGGQPKVIENAEGARTTPSIVAFTKDSERLIGQPAKRQAVTNSENTIFAVKRLIGRRFDDPVTKRDTELVPYHIVRGSNGDAWVKAGGQDYSPSQISAFILQKMKETAESYLGETVDQAVITVPAYFNDAQRQATKDAGKIAGLEVLRIINEPTAAALAYGLDKNDGKTIAVYDLGGGTFDISILEIGDGVFEVKATNGDTFLGGEDFDTKIVSYLAEEFKKAEGIDLTKDRLALQRLKEAAEKAKIELSSAQTTEVNLPFITADATGPKHLVKTISRAELERLVADLIDRTLEPVKKALADAGVKASDIDDVVMVGGMTRMPKVRQVVKEFFGKEPHTGVNPDEVVAMGAAIQAGVLQGDVKDVLLLDVTPLSLGIETLGGVFTRMIDRNTTIPTKKSQVYSTAEDNQNAVTIRVFQGEREMAADNKLLGQFDLVGIPPAPRGVPQIEVTFDIDANGIVNVSAKDKGTGKEQQIRIQASGGLSEGDIDKMVKDAEKFAADDKHRRELAEAKNNGDSLVHTTERQLTELGDKVDAALKTEVEAAVAAVKTALEGEDVAQINEKTQALGQVAMKLGQALYEQDQANNERHDTPETEKAEGDNVVDAEFQEIDDQDKK