Q7VVY2 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicthpwdkx3q56wbwgcyh2cocrl6euor3cqdrt4jfsokzaqwjh5ala/metadata.json
IPFS of structure file: 
bafybeiaixicvnxlwti5a7p2tmn3uwwstsdtiyu2dleep5vzfimujcgaz6m/AF-Q7VVY2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x05A042b1250f9bed02e55EeF26666C383876906A
First NFT owner address (bech32): 
genesis1qksy9vf9p7d76qh9tmhjvenv8qu8dyr2a36pal
Current NFT ID #101114 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101114
Accession (UniProt):
Q7VVY2
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PERTUSSIS (STRAIN TOHAMA I / ATCC BAA-589 / NCTC 13251)

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 Q7VVY2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VVY2|DNAK_BORPE Chaperone protein DnaK OS=Bordetella pertussis (strain Tohama I / ATCC BAA-589 / NCTC 13251) OX=257313 GN=dnaK PE=3 SV=1 MSKIIGIDLGTTNSCVAVLDGGQVKIIENAEGARTTPSIVAYMDDGETLVGAPAKRQAVANPKNTLYAVKRLIGRKFDEKAVQKDIDLMPYSIVKADNGDAWVEVRGKKLAPPQVSAEVLRKMKKTAEDYLGEEVTEAVITVPAYFNDSQRQATKDAGRIAGLEVKRIINEPTAAALAFGLDKTEKGDRKIVVYDLGGGTFDVSIIEIADVDGEMQFEVLSTNGDTFLGGEDFDQRIIDYIISEFKKEQGVDLSKDVLALQRLKEAAEKAKIELSSSQQTEINLPYITADASGPKHLNLKITRAKLEALVEELIERTIEPCRVAIKDAGVKVSDIDDVILVGGMTRMPKVQDKVKEFFGREPRKDVNPDEAVAAGAAIQGSVLSGERKDVLLLDVTPLSLGIETLGGVMTKMIQKNTTIPTRYSQTFSTADDNQPAVTIKVFQGEREIAAGNKGLGEFNLEGIPPAPRGLPQIEVTFDIDANGILHVSAKDKGTGKENKITIKANSGLSEDEIQRMVKDAEANAEEDHRLAELAQARNQADALVHATRKSLTEYGEKLEAAEKESIEAAIKDLEDILKTGDKAEIDAKVEALSTASQKLGEKMYADMQAQQQAQQQQAADNAKPVDDNVVDADFKEVKRDQ