Q39KQ2 AF NFT

Probable chemoreceptor glutamine deamidase CheD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifti6cbys3vg7xqb5ndvuplh7wmvsqzsigmaiffjarkdustt4swwi/metadata.json
IPFS of structure file: 
bafybeia42ewghlhbq4lc4niwwzt36rdrwqcmtx52svjk7aj7yral3dizq4/AF-Q39KQ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #61612 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
61612
Accession (UniProt):
Q39KQ2
Name::
Probable chemoreceptor glutamine deamidase CheD
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA LATA (STRAIN ATCC 17760 / DSM 23089 / LMG 22485 / NCIMB 9086 / R18194 / 383)

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 Q39KQ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q39KQ2|CHED_BURL3 Probable chemoreceptor glutamine deamidase CheD OS=Burkholderia lata (strain ATCC 17760 / DSM 23089 / LMG 22485 / NCIMB 9086 / R18194 / 383) OX=482957 GN=cheD PE=3 SV=1 MSALPIATNRYFDNHFGRPGVKLLPNEFYTTSEDMVLMTVLGSCVAACLHDPYAGIGGMNHFMLPDDGADPGAAASESMRYGAYAMEVLINEMIKAGGRRERFEAKVFGGAAVLAGMTTINIGDRNADFVRRYLALERIRITAEDLQGVHPRKVAFMAATGRAAVKKLRLQVPGVTEREAALAREADRARTARPRPQVELFAAKRPAAPPPARPRIELFGARSAAPAGGVRAANLSRKQEA