Q65D02 AF NFT

5-dehydro-2-deoxygluconokinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihxq3f5t4puwvsc4iamcuh65abchkjgybogy63rvxt24zykgyeobq/metadata.json
IPFS of structure file: 
bafybeieldg54ioaqwr6aeunjyoozarc4zjspp7rl4jolrmd2bu6mmrozgq/AF-Q65D02-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeed72B55F0dD4B7707c70e598051F9ab5d1Eb12c
First NFT owner address (bech32): 
genesis1amtjk40sm49hwp78pevcq50e4dw3avfvf9xszj
Current NFT ID #190928 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
190928
Accession (UniProt):
Q65D02
Name::
5-dehydro-2-deoxygluconokinase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65D02 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65D02|IOLC_BACLD 5-dehydro-2-deoxygluconokinase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=iolC PE=3 SV=1 MKYTFNEEKEFDIVAIGRACIDLNAVEYNRPMEQTMTFSKYVGGSPANIAIGSSKLGLKTGFIGKIPDDQHGRFIETYMRNTGVDTSQMAVDKDGHKAGLAFTEILSPEECSILMYRDDVADLYLAPSEVNEDYIAKSKMLLVSGTALAKSPSREAVLKAVQLAKKHQVKVVFELDYRPYTWTSAEETAVYYTLVAEQSDIVIGTRDEFDVMENKSGGSNEESVQHLFAHSADLVVIKHGVEGSYAYSKSGDVFRAKAYKTKVLKTFGAGDSYASAFLYGLVSGKDIETALKYGSASASIVVSKHSSSEAMPTVAEIEELIAAQS