Q7W519 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3dxpenrigknl5ponut4ya253s6qq6un5dn6lybrbo4pyywoml4i/metadata.json
IPFS of structure file: 
bafybeifpq2mm6s6ga4rvht6a7dhblklky6obwof76a4mtprxpkkxktga5e/AF-Q7W519-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBe4c5a2e442cc35F6Aaed7B76c566bf657Fc621b
First NFT owner address (bech32): 
genesis1hex95tjy9np4764w67mkc4nt7etlccsmt7w78x
Current NFT ID #101112 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101112
Accession (UniProt):
Q7W519
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PARAPERTUSSIS (STRAIN 12822 / ATCC BAA-587 / NCTC 13253)

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 Q7W519 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7W519|DNAK_BORPA Chaperone protein DnaK OS=Bordetella parapertussis (strain 12822 / ATCC BAA-587 / NCTC 13253) OX=257311 GN=dnaK PE=3 SV=1 MSKIIGIDLGTTNSCVAVLDGGQVKIIENAEGARTTPSIVAYMDDGETLVGAPAKRQAVTNPKNTLYAVKRLIGRKFDEKAVQKDIDLMPYSIVKADNGDAWVEVHGKKLAPPQVSAEVLRKMKKTAEDYLGEEVTEAVITVPAYFNDSQRQATKDAGRIAGLEVKRIINEPTAAALAFGLDKTEKGDRKIVVYDLGGGTFDVSIIEIADVDGEMQFEVLSTNGDTFLGGEDFDQRIIDYIISEFKKEQGVDLSKDVLALQRLKEAAEKAKIELSSSQQTEINLPYITADASGPKHLNLKITRAKLEALVEELIERTIEPCRVAIKDAGVKVSDIDDVILVGGMTRMPKVQDKVKEFFGREPRKDVNPDEAVAAGAAIQGSVLSGERKDVLLLDVTPLSLGIETLGGVMTKMIQKNTTIPTRYSQTFSTADDNQPAVTIKVFQGEREIAAGNKGLGEFNLEGIPPAPRGLPQIEVTFDIDANGILHVSAKDKGTGKENKITIKANSGLSEDEIQRMVKDAEANAEEDHRLAELAQARNQADALVHATRKSLTEYGEKLEAAEKESIEAAIKDLEDILKTGDKAEIDAKVEALSTASQKLGEKMYADMQAQQQAQQQQAADNAKPVDDNVVDADFKEVKRDQ