Q28WA7 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiha2ty3isq5g3oc7jej4dy73ftg3fzxipgkn7dvuypkha2oiohkiy/metadata.json
IPFS of structure file: 
bafybeig7rbr3ifnn7xwq42smqxwylonbapz7mkmqaewmokmsj2r6hzpz4i/AF-Q28WA7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #108064 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108064
Accession (UniProt):
Q28WA7
Name::
1-deoxy-D-xylulose-5-phosphate synthase 1
Experimental Method:
Predicted structure
Sequence source:
Jannaschia sp. (strain CCS1)

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 Q28WA7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q28WA7|DXS1_JANSC 1-deoxy-D-xylulose-5-phosphate synthase 1 OS=Jannaschia sp. (strain CCS1) OX=290400 GN=dxs1 PE=3 SV=1 MSDRPSTPLLDNVQSPNDLKGLSDFDLKRLADELRAEMIWTVSKTGGHFGAGLGVVELTVALHSVFDTPRDKLVWDVSHQCYPHKILTGRRDQMLTIRQKDGLSGFTKRSESPFDPFGAAHSSTSISAALGFAVARDLGGDSDTGHGDAIAVIGDGAMSGGMAFEAMNNAGHLGKRLIVILNDNEMSIAPPTGALSSYLSRLYAGAPFQEFKAAAKGAVSLLPEPFQEGARRAKELLKSATVGGTLFEELGFSYVGPIDGHDMESLLSVLRTVKARADGPILIHAITKKGKGYSEHRADRGHATAKFNIATGEQVKAPSNAPSYTKVFAQSLIAEAEDDPKVVAVTAAMPDGTGLDLFAERFPSRCFDVGIAEQHGVTFAAGMAAGGLKPFAAIYSTFLQRGYDQVVHDVAIQRLPVRFAIDRAGLVGADGCTHAGSYDISYLANLPGFVVMAAADEAELRHMVRTALEIDDRPSAFRFPRGEGMGVDMPDRGTALEIGKGRMISEGNRVAILNFGTRLKEVQEAAETLSQRGITPTIADARFAKPLDEALILQLARHHEALITVEEGAVGGFGSHVAHLLAENAVFDTGIKYRSMVLPDIFIDQASPKDMYAVAGMNAEDIVAKVLTTLGVEVLSQRA