Q9KD72 AF NFT

Chaperone protein DnaK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic24xybyavmt3gcrir4frjg5hhsxu76clvhwdxa2jga4mspds5wa4/metadata.json
IPFS of structure file: 
bafybeifinii5glliwbhzk3k3thu4z57aqoqnvgnboo24zxhvhwszwzm3q4/AF-Q9KD72-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB5337bAf208B901b77517FD7A038257Cee30A7e4
First NFT owner address (bech32): 
genesis1k5ehhteq3wgpka630lt6qwp90nhrpfly8lz9kq
Current NFT ID #101052 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
101052
Accession (UniProt):
Q9KD72
Name::
Chaperone protein DnaK
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9KD72 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KD72|DNAK_ALKHC Chaperone protein DnaK OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=dnaK PE=3 SV=3 MSKIIGIDLGTTNSCVAVMEGGEATVIPNPEGNRTTPSVVAFKDGERQVGEVAKRQAITNPNTVISIKRHMGTNHKENIEGKEYTPQEISAIILQKLKSDAEAYLGEEVTKAVITVPAYFNDSQRQATKDAGKIAGLEVERIVNEPTAAALAYGLDKEDDQTILVYDLGGGTFDVSILELGDGFFEVKATSGDNKLGGDDFDQVIIDHLIAEFKKENGIDLSQDKMAMQRLKDAAEKAKKDLSGVTSTQISLPFITADATGPKHLELTLTRAKFEELSSHLVERTLGPTRQALQDSGLSASEIDKVVLVGGSTRIPAVQEAIKNLTGKEPHKGVNPDEVVALGAAVQAGVLTGDVKDVVLLDVTPLSLGIETMGGVFTKLIERNTTIPTSKSQIFSTAADNQPSVDIHVLQGEREMAADNKTLGRFQLTDIPPAPRGVPQIEVTFDIDANGIVNVKAKDLGTNKEQSITITSSSGLTDEEIDQMVKDAEANAEADKKRREEVELRNEADQLVFTTEKTLKDLGDNVDEAEKTKAEEAKEKLKKAIEANNIDEIRTAKEELQQVVQALTTKLYEQAAQQAQQAQSAEGDQGTAEKGQDDNVVDADYEEVNEEDKK