Q87WP0 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibe226d5plod563attw4bfpmop6rrikyamhvem6lpx25nknpc45oi/metadata.json
IPFS of structure file: 
bafybeigjxny3ohkvig74bopuyhi6aygjhv7dbyqgy7ydbfihfpxfefctiy/AF-Q87WP0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x995f1a3568169CB9DbdB48430AEeec5E5696A9E4
First NFT owner address (bech32): 
genesis1n9035dtgz6wtnk7mfpps4mhvtetfd20y5l8p09
Current NFT ID #101543 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101543
Accession (UniProt):
Q87WP0
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS SYRINGAE PV. TOMATO (STRAIN ATCC BAA-871 / DC3000)

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 Q87WP0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87WP0|DNAK_PSESM Chaperone protein DnaK OS=Pseudomonas syringae pv. tomato (strain ATCC BAA-871 / DC3000) OX=223283 GN=dnaK PE=3 SV=1 MGRIIGIDLGTTNSCVSILENGNVKVIDNAEGTRTTPSIIAYANDGEILVGQSAKRQAVTNPHNTLYAVKRLIGRKFDEQVVQKDIQMVPYKIVKADNGDAWVEVNGQKMAPPQISAEILKKMKKTAEDYLGEAVTEAVITVPAYFNDSQRQATKDAGRIAGLDVKRIINEPTAAALAYGMDKAKGDHTVIVYDLGGGTFDVSVIEIAEVDGEHQFEVLATNGDTFLGGEDFDIRLIDYFVDEFKKESGMSLKGDPLAMQRLKEAAEKAKIELSSSTQTEVNLPYITADATGPKHLVVKISRSKLESLVEDLVQRTIEPCRIALKDAGIDIGKINDVILVGGQTRMPLVQKLVTEFFGKEARKDVNPDEAVAMGAAIQGAVLAGDVKDVLLLDVSPLTLGIETMGGVMTALIEKNTTIPTKKSQVFSTADDNQNAVTIHVLQGERKQAGQNKSLGKFDLAEIPPAPRGVPQIEVTFDIDANGILHVGAKDKATGKQQSIVIKANSGLSEEEIQQMVRDAEVNSEEDRKFEELASARNQGDALVHSTRKMIADAGDKVTAEEKTAVEAALVALEAAIKGDDKAVIEAKVEELSKVSAPIAQKMYAEQAENPEAAAKPAEETAKADDVVDAEFEEVKDHK