Q7WC98 AF NFT

Dihydroxy-acid dehydratase 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibkbrn233lymkyruaebkvqngkklznixyd4dmv4x3w6rnl6fa3nvya/metadata.json
IPFS of structure file: 
bafybeidwpgl2an7e3eeau3345mzxsynizh4gnkidj3ueze4piekhk2pjfa/AF-Q7WC98-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9E875E98F8112e68418e5aC87B39A21D41a95A53
First NFT owner address (bech32): 
genesis1n6r4ax8czyhxssvwtty8kwdzr4q6jkjn9khec4
Current NFT ID #188889 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
188889
Accession (UniProt):
Q7WC98
Name::
Dihydroxy-acid dehydratase 1
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PARAPERTUSSIS (STRAIN 12822 / ATCC BAA-587 / NCTC 13253)

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 Q7WC98 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7WC98|ILVD1_BORPA Dihydroxy-acid dehydratase 1 OS=Bordetella parapertussis (strain 12822 / ATCC BAA-587 / NCTC 13253) OX=257311 GN=ilvD1 PE=3 SV=1 MPHYRSRTSTHGRNMAGARALWRATGMKDGDFGKPIIAVVNSFTQFVPGHVHLRDLGALVASEIEAAGGVAKEFNTIAVDDGIAMGHGGMLYSLPSRELIADSVEYMVNAHCADAMVCISNCDKITPGMLMAAMRLNIPVVFVSGGPMEAGKITSPVDGKVIAKLDLVDAMIKAADPNVSDAEAEEVERSACPTCGSCSGMFTANSMNCLTEAIGLALPGNGTIVATHAWRKGLFEQAGRLVVELCRRYYEQDDASVLPRSIATKSAFENAMTLDVAMGGSTNTVLHLLAAAQEAGVDFTMSDIDRISRRVPCLCKAAPATDKYHIEDVHRAGGILGILGELGRADLLDLSCGNVHSGTLGEAINQWDINGGAGEAAQKFFRAAPGGIPTTVAFSQDATFLTLDMDRQTGCIRDKAHAYSQDGGLAVLYGNLAEKGCIVKTAGVDESQWVFTGRARVFESQEDAVEGILGDRVQAGDVVIIRYEGPKGGPGMQEMLYPTSYLKSKGLGKTCALFTDGRFSGGSSGLVIGHASPEAAEGGTIGLVEEGDTIEIDIPNRRIHLAVGDTVLAERRAAMQARGEQAWQPVDRERVVSQALRAYAALATSADRGAVRDLSQLKR