B8ZQW9 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifj7nfhl7b3mxvj3p6opjuzpkmzvz7n7q7sl763o4aql2nznuhgwe/metadata.json
IPFS of structure file: 
bafybeidaakuglgaepth3qrwr4c3nikaqdeuwu56smwmkcgjxfyua5s7zq4/AF-B8ZQW9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #108356 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108356
Accession (UniProt):
B8ZQW9
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
Mycobacterium leprae (strain Br4923)

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 B8ZQW9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B8ZQW9|DXS_MYCLB 1-deoxy-D-xylulose-5-phosphate synthase OS=Mycobacterium leprae (strain Br4923) OX=561304 GN=dxs PE=3 SV=1 MLEQIRRPADLQHLSQQQLRDLAAEIRELLVHKVAATGGHLGPNLGVVELTLALHRVFDSPHDPIIFDTGHQAYVHKMLTGRCQDFDSLRKKAGLSGYPSRAESEHDWVESSHASTALSYADGLAKAFELAGNRNRHVVAVVGDGALTGGMCWEALNNIAATPRPVVIVVNDNGRSYAPTIGGVADHLATLRLQPAYERLLEKGRDALHSLPLIGQIAYRFMHSVKAGIKDSLSPQLLFTDLGLKYVGPVDGHDEHAVEVALRKARGFGGPVIVHVVTRKGMGYPPAEADQAEQMHTCGVMDPTTGQPTKIAAPDWTAIFSDALIGYAMKRRDIVAITAAMPGPTGLTAFGQCFPDRLFDVGIAEQHAMTSAAGLAMGRMHPVVAIYSTFLNRAFDQIMMDVALHKLPVTMVIDRAGITGSDGPSHNGMWDLSMLGIVPGMRVAAPRDAIRLREELGEALDVDDGPTAIRFPKGDVCEDIPALKRRSGVDVLAVPATGLAQDVLLVGVGVFASMALAVAKRLHNQGIGVTVIDPRWVLPVCDGVLELAHTHKLIVTLEDNGVNGGVGAAVSTALRQVEIDTPCRDVGLPQEFYDHASRSEVLADLGLTDQDVARRITGWVVAFGHCGSGDDAGQYGPRSSQTM