B5EC42 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiafchuebcuxdo4c2h7ryasyd3sgusoaswat7hcy2j6xrr4hgrcpde/metadata.json
IPFS of structure file: 
bafybeifiyy5dieuvuw4i353ux52rugarceo6usay2q2ii3lzdc4y4wosxm/AF-B5EC42-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8DD039045Fb349fDC997B0f513D2569D7B05b2a0
First NFT owner address (bech32): 
genesis13hgrjpzlkdylmjvhkr6385jkn4astv4qhayr40
Current NFT ID #101189 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101189
Accession (UniProt):
B5EC42
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Citrifermentans bemidjiense (strain ATCC BAA-1014 / DSM 16622 / JCM 12645 / Bem)

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 B5EC42 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5EC42|DNAK_CITBB Chaperone protein DnaK OS=Citrifermentans bemidjiense (strain ATCC BAA-1014 / DSM 16622 / JCM 12645 / Bem) OX=404380 GN=dnaK PE=3 SV=1 MSRVIGIDLGTTNSCVAVMEGGEPVVIANAEGSRTTPSMIAFAESGERLVGQQAKRQAVTNPENTLYAIKRLIGRKFETEAVKKDIAISPFKIVKADNSDAWVEVRGQKYSPPEISAMVLQKMKKTAEDYLGEAVTDAVITVPAYFDDSQRQATKDAGKIAGLNVLRIINEPTAAALAYGLDKKKDEKIAVFDLGGGTFDVSILELGEGVFEVKSTNGDTFLGGEDFDQKIIDHIADEFKKDQGIDLRGDKMALQRLKEAGEKAKCELSTSLETDINLPFITADASGPKHLTMKLTRAKLESICAELIAKLEGPCRTALKDAGLSASDIDEVILVGGMTRMPIVQKKVQDIFGKLPNRGVNPDEVVAIGAAIQGGVLRGDVKDVLLLDVTPLSLGIETLGGVLTKLIDKNSTIPCRKSQVFSTAADNQPAVSIHVLQGEREMAADNKTLGNFELSGIPAAPRGVPQIEVTFDIDANGIVHVSAKDLGTGKEQSIRITASSGLSKEEVEKMVREAEAHAADDKKKRELIEAKNQADNLIYQTEKSLTEFGDKIDASEKQKIEEGVAALKKALEGSDADEIKKASDSLMQASHKLAEAVYAKTQGAGAEGGEQPHGEQEAGGAAKGEKVVDADFEEVKDDKK