A8MFI7 AF NFT

1-deoxy-D-xylulose-5-phosphate synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiejvghqhhq7gz4tlnivuwhyyeykrqagmk6hczrvzafptbplzzyu5m/metadata.json
IPFS of structure file: 
bafybeig4clz5qtfhu264bfk5elujxywpu7swf75z2tm34e3cogfbbdzlp4/AF-A8MFI7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #108107 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108107
Accession (UniProt):
A8MFI7
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
ALKALIPHILUS OREMLANDII (STRAIN OHILAS)

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 A8MFI7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8MFI7|DXS_ALKOO 1-deoxy-D-xylulose-5-phosphate synthase OS=Alkaliphilus oremlandii (strain OhILAs) OX=350688 GN=dxs PE=3 SV=1 MYKYLMEINSIEDFKKLNSNEIKVLAEEIRHFLIESVSKTGGHLASNLGVVELTLALHQAFNSPEDKIIWDVGHQAYVHKILTGRRDQFSTLRQYKGLSGFPKRYESEHDQFDTGHSSTSISAAMGLATARDLNKDKYKVIAVIGDGAMTGGMAFEALNHIGQSQKDIIVILNDNEMSISPNVGGLSNYLNKIRTAPIYSKVKDDVEYLISNIPAIGKSVMKTAEKAKDSIKYFFVPGVLFEELGFTYIGPVDGHNYHSLYDVMNRTKNIKGPVLLHVMTTKGKGYTLAEKHPDKYHGVNSFHIETGEPISCNENLSYSEIAGKTLVECAAEDEKIVAITAAMPSGTGLNNFAKKHPERFFDVGIAEQHAATFAAGLAANGFKPFFAVYSTFFQRAYDQVIHDACIQDLPVTYLIDRAGLVGNDGETHHGSLDISFLSCIPNLTFMAPKDGIELSEMVRFAAKHNGPVAIRYPRGHSNMDSQENFSPLALGKGEITYHSGNDVLILALGTFNKMGLEICKDLEENNIFSTLMNPRFIKPMDEELIVEMVQKHKIIYTIEDNSKIGGFGTLVQVLLNDNQILKPVKVCALPDRFIEHGNVEDLYEELGLTKKQIVDQIKKEFSDL