Q5N0G0 AF NFT

Chaperone protein DnaK 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihok5nyyut3rrblbofggnzqnw5tauy2unz3xdgleqjnvwjbfibp4i/metadata.json
IPFS of structure file: 
bafybeig6kdf7dbpxvx3wip6eqzos6xcvtb24ypwsq6keada7bwsnokajgq/AF-Q5N0G0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD83981a883D2d1ed3d8b29434a5fa2bAa14a52D7
First NFT owner address (bech32): 
genesis1mqucr2yr6tg760vt99p55hazh2s555khgjn0za
Current NFT ID #101018 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101018
Accession (UniProt):
Q5N0G0
Name::
Chaperone protein DnaK 3
Experimental Method:
Predicted structure
Sequence source:
SYNECHOCOCCUS SP. (STRAIN ATCC 27144 / PCC 6301 / SAUG 1402/1)

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 Q5N0G0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5N0G0|DNAK3_SYNP6 Chaperone protein DnaK 3 OS=Synechococcus sp. (strain ATCC 27144 / PCC 6301 / SAUG 1402/1) OX=269084 GN=dnaK3 PE=3 SV=1 MGKVIGIDLGTTNSCVAVLEGGKPIIVTNREGDRTTPSIVAVGRKGDRIVGRMAKRQAVTNAENTVYSIKRFIGRRWEDTEAERSRVTYTCVPGKDDTVNVTIRDRVCTPQEISAMVLQKLRQDAETFLGEPVTQAVITVPAYFTDAQRQATKDAGAIAGLKVLRIVNEPTAAALSYGLDKLHENSRILVFDLGGGTLDVSILQLGDSVFEVKATAGNNHLGGDDFDAVIVDWLADNFLKAESIDLRQDKMAIQRLREASEQAKIDLSTLPTTTINLPFIATATVDGAPEPKHIEVELQREQFEVLASNLVQATIEPIQQALKDSNLTIDQIDRILLVGGSSRIPAIQQAVQKFFGGKTPDLTINPDEAIALGAAIQAGVLGGEVKDVLLLDVIPLSLGLETLGGVFTKIIERNTTIPTSRTQVFTTATDGQVMVEVHVLQGERALVKDNKSLGRFQLTGIPPAPRGVPQIELAFDIDADGILNVSARDRGTGRAQGIRITSTGGLTSDEIEAMRRDAELYQEADQINLQMIELRTQFENLRYSFESTLQNNRELLTAEQQEPLEASLNALASGLESVSNEAELNQLRQQLEALKQQLYAIGAAAYRQDGSVTTIPVQPTFADLIGDNDNGSNETVAIERNDDDATVTADYEAIE