P0C922 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepvodalahaazdklmusw6zzjkyl2augbzfsnlr5gyrodk27aajmcm/metadata.json
IPFS of structure file: 
bafybeie5tdsrdapwqfwcarpuajaw6ga6rbq45mqhnbe3jwpfmumvk542jm/AF-P0C922-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4F68597e66577F2Fc83E62a655Df07e7Ca4F542e
First NFT owner address (bech32): 
genesis1fa59jlnx2aljljp7v2n9thc8ul9y74pwsrnk33
Current NFT ID #101107 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
101107
Accession (UniProt):
P0C922
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Borreliella burgdorferi (strain ATCC 35210 / DSM 4680 / CIP 102532 / B31)

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 P0C922 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C922|DNAK_BORBU Chaperone protein DnaK OS=Borreliella burgdorferi (strain ATCC 35210 / DSM 4680 / CIP 102532 / B31) OX=224326 GN=dnaK PE=2 SV=1 MGKIIGIDLGTTNSCVAIMEHGKPVVIQNSEGGRTTPSIVAYTNKGERLVGQVAKNQMVTNPENTIYSIKRFMGRRFEEVASEIKMVPYKIEKGLNGDARVNISNIKKQMSPPEISAATLTKMKETAEAYLGEKVTEAVITVPAYFNDAQRQATKDAGKIAGLEVKRIVNEPTAAALAYGIEKKHEEIVAVYDLGGGTFDISILELGDGVFEVKSTNGDTHLGGDNFDDEIIKHLISEFKKESAIDLSNDKMALQRLKEAAEKAKIELSGAQEASINLPFITADANGPKHLQYTLTRAKFEQMVDHLVQKTKEPCLKAIKDAGLKASDINEVILVGGSTRIPAIQKIVKDIFGQDPNKGVNPDEAVAIGAAIQGGILTGETKDMVLLDVTPLSLGIETLGGVMTKLIERNTTIPTKKSQVFSTAADNQTSVDIKVLQGEREMAAQNRILGNFILDGIPAAPRGVPQIEVSFDIDANGIVHVSAKDMGTGKEQKIRIESSSGLSESEIDRMVKDAEAHAEEDKKLKENIEAKNTANSLIYQTEKSLKEYSEKISSEDKEAIESKIKELKESLEKEDISLIKSRTEELQKASYKIAEMMYKDSSQQNANSQQENGPQSNTSEEGKEADYEVVDEDKK