Q1H3B8 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifasjam7upi3aebu3dfv3mio55s7tvwl2esceuemaslgohv452s3m/metadata.json
IPFS of structure file: 
bafybeifk567seugho4fo4lxabpuvlnp3e2hdzqgy332ojcqrh2lhe652xu/AF-Q1H3B8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #101417 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101417
Accession (UniProt):
Q1H3B8
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Methylobacillus flagellatus (strain KT / ATCC 51484 / DSM 6875)

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 Q1H3B8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1H3B8|DNAK_METFK Chaperone protein DnaK OS=Methylobacillus flagellatus (strain KT / ATCC 51484 / DSM 6875) OX=265072 GN=dnaK PE=3 SV=1 MGKIIGIDLGTTNSCVAVMEGGKPRVIENAEGARTTPSVIAYQEDGEILVGAPAKRQAVTNPKNTLFAVKRLIGRRFDEKEVQKDIGLMPYTITKADNGDAWVEVRGQKLAPPQISAEVLRKMKKTAEDYLGEEVTEAVITVPAYFNDSQRQATKDAGRIAGLEVKRIINEPTAAALAFGLDKQEGDRKIAVYDLGGGTFDISIIEISEIDGEHQFEVLSTNGDTFLGGEDFDNRLIDFLADEFKKENGIDLRNDLLAKQRLKEAAEKAKIELSSSTQTEVNLPYITADASGPKHLVVKITRAKFESLVEDLIERSIKPCEVALKDAGVKVSDIQDVILVGGQTRMPKVQEKVKEFFGKEPRKDVNPDEAVAVGAAIQGGVLQGDVKDVLLLDVTPLSLGIETLGGVMTKLIQKNTTIPTKASQVFSTAEDNQSAVTIHVLQGEREMASGNKSLGQFNLTDIPPAPRGMPQIEVTFDIDANGILHVSAKDKATGKENKITIKANSGLSDEEIKRMEEEAAKYADEDKKLRELVDARNSADSAIHSVKKSLAEHGDKLDAAEKGAIEKAVQELEDVIKGDDKAAIESKTNALIEASQKLGEKVYAAGETESSAAEPGEPQEKTVDAEVVDAEFEEVKDDKK