Q1AXX6 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiezv7xtgd75bvtatjzsgpwvkxuisdyqcmystainus4bssxons3bo4/metadata.json
IPFS of structure file: 
bafybeichbus4s4euwm4xgazzum3u5qdm22zdaoptbkixrshptktvg2zhy4/AF-Q1AXX6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #101587 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101587
Accession (UniProt):
Q1AXX6
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Rubrobacter xylanophilus (strain DSM 9941 / NBRC 16129 / PRD-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 Q1AXX6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1AXX6|DNAK_RUBXD Chaperone protein DnaK OS=Rubrobacter xylanophilus (strain DSM 9941 / NBRC 16129 / PRD-1) OX=266117 GN=dnaK PE=3 SV=1 MGKSIGIDLGTTNSCVAVLEGGDPVVIPNAEGERTTPSVVAFDRKSGERLVGQLARRQAVTNPERTVYSIKRFMGRRYNDVKQEAERVGYQVVPGPHGDVRVRLGDKDYSPPEISAMILQKLKRDAEDYLGEEVTDAVITVPAYFEDAQRQATKDAGRIAGLNVKRIINEPTAAALAYGLDKENDQTILVFDLGGGTFDVSILELGDGVFEVKATSGNNHLGGDDFDAKVVEWIVEEFKKAEGIDLSRDKMAMQRLVEAAEKAKKELSSTTSTNINLPFITADANGPKHLDLTLTRAQFNKLTADLVEATAGPVRQAMQDAGLKPGDVDQVILVGGSTRIPAVQEKVKELTGKEPHKGINPDEVVAIGAAIQAGVLAGEVKDVLLLDVTPLSLGIETKGGVFTKLIERNTTIPTRKSEIFTTAEDNQQSVEIKVYQGEREIAAHNKLIGNFQLVGIPPAPRGVPQIEVTFDIDANGILNVGAKDLGTGKEQKITITASSGLSDQEIEQMVRDAEAHAEEDRRKREEAEIRNNADNLVYSVERSLKEVDGKVDSSTREEIEKAIKEAKEALAGDDIEEIKRKQEALMSASHKLSQVLYQQAQEQQQSGSSGGSSDEDVVEDAEIVDEEDEEKRDDNR