Q2IRL7 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgxefupar2ho35dez4q756d6ay5pagrqezrbe2cw7inmlrepbweq/metadata.json
IPFS of structure file: 
bafybeih5k6fxyyqk7d2ehoq2pkexcyfv3psvk7xzvmq5kjxjlvr6dqjgwq/AF-Q2IRL7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Bc3a9DEF23A29F3dcbA8193981eA4F9A600a340
First NFT owner address (bech32): 
genesis1f0p6nhhj8g5l8h96sxfes84ylxnqpg6qkwxp57
Current NFT ID #108461 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
108461
Accession (UniProt):
Q2IRL7
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
RHODOPSEUDOMONAS PALUSTRIS (STRAIN HAA2)

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 Q2IRL7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2IRL7|DXS_RHOP2 1-deoxy-D-xylulose-5-phosphate synthase OS=Rhodopseudomonas palustris (strain HaA2) OX=316058 GN=dxs PE=3 SV=1 MSKTPLLDTIRTPDDLRKLRIDQVQQVADELRQETIDAVSVTGGHFGAGLGVVELTTAIHYVFDTPRDRLIWDVGHQAYPHKILTGRRDRIRTLRTAGGLSGFTKRTESDYDPFGAAHSSTSISAGLGMAVARDLAGGTNNVIAVIGDGSISAGMAYEAMNNAGAMNSRLIVILNDNNMSIAPPVGAMSAYLSRLYSGKTYRSLREAGKQIGKHLPKLIADRAARAEEYSRGFMMGGGTLFEELGFYYVGPIDGHNLDHLLPILQNVRDAETGPFLIHVVTQKGKGYAPAEAASDKYHAVVKFDIATGTQAKAKSNAPSYQNVFGQSLVKEAAKDDKVVGITAAMPSGTGIDIFEKAFPDRTFDVGIAEQHAVTFAAGLATEGFKPFCAIYSTFLQRGYDQIVHDVAIQSLPVRFAIDRAGLVGADGATHAGSFDNAYLGCLPNFVIMAASDEAELVHMVATQVAINDRPSAVRYPRGEGRGVEMPDVGVPLEIGKGRVIRQGNKVALLSFGTRLAECEKAAEELATLGLSTTVADARFMKPLDVDLVIKLANEHEILITIEEGSIGGFGSHVMQTLSDHGKLDGEVKMRAMVLPDVFLDHDTPAAMYAAAGLDAKAIVKKVFEALGKEHAAETVKLA