Q7WGI4 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif6tupyo3yw7pvidriwkszaxwrjpiewlbobsice7ngdpjm2e2nlli/metadata.json
IPFS of structure file: 
bafybeiepsqblanu46jqyccmjnwj55kzblbsgkyckvgxtz2xlhexqqnahmy/AF-Q7WGI4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5789C821eF3e8D61750de197f4929F6643abaaFe
First NFT owner address (bech32): 
genesis127yusg0086xkzagduxtlfy5lvep6h2h742s6r5
Current NFT ID #101106 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101106
Accession (UniProt):
Q7WGI4
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA BRONCHISEPTICA (STRAIN ATCC BAA-588 / NCTC 13252 / RB50)

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 Q7WGI4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7WGI4|DNAK_BORBR Chaperone protein DnaK OS=Bordetella bronchiseptica (strain ATCC BAA-588 / NCTC 13252 / RB50) OX=257310 GN=dnaK PE=3 SV=1 MSKIIGIDLGTTNSCVAVLDGGQVKIIENAEGARTTPSIVAYMDDGETLVGAPAKRQAVTNPKNTLYAVKRLIGRKFDEKAVQKDIDLMPYSIVKADNGDAWVEVRGKKLAPPQVSAEVLRKMKKTAEDYLGEEVTEAVITVPAYFNDSQRQATKDAGRIAGLEVKRIINEPTAAALAFGLDKTEKGDRKIVVYDLGGGTFDVSIIEIADVDGEMQFEVLSTNGDTFLGGEDFDQRIIDYIISEFKKEQGVDLSKDVLALQRLKEAAEKAKIELSSSQQTEINLPYITADASGPKHLNLKITRAKLEALVEELIERTIEPCRVAIKDAGVKVSDIDDVILVGGMTRMPKVQDKVKEFFGREPRKDVNPDEAVAAGAAIQGSVLSGERKDVLLLDVTPLSLGIETLGGVMTKMIQKNTTIPTRYSQTFSTADDNQPAVTIKVFQGEREIAAGNKGLGEFNLEGIPPAPRGLPQIEVTFDIDANGILHVSAKDKGTGKENKITIKANSGLSEDEIQRMVKDAEANAEEDHRLAELAQARNQADALVHATRKSLTEYGEKLEAAEKESIEAAIKDLEDILKTGDKAEIDAKVEALSTASQKLGEKMYADMQAQQQAQQQQAADNAKPVDDNVVDADFKEVKRDQ