Q2Y6U0 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaynivtqhfggdyeljvaxlsxb2wj53f3bann4dccvo2lvgrt6s262m/metadata.json
IPFS of structure file: 
bafybeif5owpqwhet6jtevzwxz5f5luovn4cmja4pn3shq5kvztcgzgd7ye/AF-Q2Y6U0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0F7aAe0F58509eB3BaA013d642d748C7C38B0F93
First NFT owner address (bech32): 
genesis1paa2ur6c2z0t8w4qz0ty946gclpckrunzmqksa
Current NFT ID #101482 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
101482
Accession (UniProt):
Q2Y6U0
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Nitrosospira multiformis (strain ATCC 25196 / NCIMB 11849 / C 71)

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 Q2Y6U0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2Y6U0|DNAK_NITMU Chaperone protein DnaK OS=Nitrosospira multiformis (strain ATCC 25196 / NCIMB 11849 / C 71) OX=323848 GN=dnaK PE=3 SV=1 MGKIIGIDLGTTNSCVAVMESGKPKVIENSEGARTTPSIVAYTEDGEILVGASAKRQAVTNPKNTLFAVKRLIGRRFNEEMVQRDIKMVPYTIIKADNNDAWIEVRGKKVAPPEVSAQVLMKMKKTAEDYLGEPVTEAVITVPAYFNDSQRQATKDAGRIAGLEVKRIINEPTAAALAFGMDKKEGDRKIAVYDLGGGTFDISIIEIAEVEGEHQFEVLATNGDTFLGGEDFDARIIEYLVDEFKKENGIDLKKDMLALQRLKDSAEKAKIELSSSQQTEVNLPYITADASGPKHLAVRITRAKLESLVEDLITRTVEPCRIAIKDAGIKISDIDDVILVGGQTRMPKVQEKVKEIFAKEPRKDVNPDEAVAVGAAIQGGVLQGAVKDVLLLDVTPLSLGIETLGGVMTKLIQKNTTIPTKANQVFSTADDNQTAVTIHVLQGEREMASGNKSLGQFNLADIPPAPRGMPQIEVTFDIDSNGILHVSAKDKATGKESKIKIQASSGLSEEEVQRMVKDAEAHAEEDHKAMELVTARNQCDAMIHSVQKTMKEHGDKLADEEKSKIESALKEAEDALKSGDKETIEAKTQALAEASHKLAEKMYSQGQGPQAGPGEEPSGQSGGTEKPVEGEVVDAEFEEVKNKK