Q0KBP1 Beta-ketothiolase BktB MolNFT, Molecular NFT on GenesisL1

Beta-ketothiolase BktB

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicqq73j2jeccc3viurx5k34tw53rg6v7wwiuhpqgubosdye2f664q/metadata.json

IPFS of structure file:

bafybeiad6lctchodx2psp5btuvh24gjqjh3tyojr3omoucslegf6aqoqay/AF-Q0KBP1-F1-model_v2.pdb

First NFT owner address (eip-55):

0xc3978ce4859a68E894fC7e99b9CC8003A1892791

First NFT owner address (bech32):

genesis1cwtceey9nf5w398u06vmnnyqqwscjfu3xvlaf8

Current NFT ID #44810 owner (web3):

0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
44810
Accession (UniProt):
Q0KBP1
Name::
Beta-ketothiolase BktB
Experimental Method:
Predicted structure
Sequence source:
Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337)

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 Q0KBP1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0KBP1|BKTB_CUPNH Beta-ketothiolase BktB OS=Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337) OX=381666 GN=bktB PE=1 SV=1 MTREVVVVSGVRTAIGTFGGSLKDVAPAELGALVVREALARAQVSGDDVGHVVFGNVIQTEPRDMYLGRVAAVNGGVTINAPALTVNRLCGSGLQAIVSAAQTILLGDTDVAIGGGAESMSRAPYLAPAARWGARMGDAGLVDMMLGALHDPFHRIHMGVTAENVAKEYDISRAQQDEAALESHRRASAAIKAGYFKDQIVPVVSKGRKGDVTFDTDEHVRHDATIDDMTKLRPVFVKENGTVTAGNASGLNDAAAAVVMMERAEAERRGLKPLARLVSYGHAGVDPKAMGIGPVPATKIALERAGLQVSDLDVIEANEAFAAQACAVTKALGLDPAKVNPNGSGISLGHPIGATGALITVKALHELNRVQGRYALVTMCIGGGQGIAAIFERI

Q0KBP1 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q0KBP1 research and analysis (ICN3D with VR)

FASTA sequences

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