B2U930 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig6ddyoyr5jncsiiklmouwe3kubcpbqgnuurvxucx7kzpg7rr5ava/metadata.json
IPFS of structure file: 
bafybeihm5ujlm5zabpz3hnehjgsqqrpftijll3qzdtiodprgzra2fob3bu/AF-B2U930-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x275eb680a4a33D3dDEd594ef59526457E1E4749D
First NFT owner address (bech32): 
genesis1ya0tdq9y5v7nmhk4jnh4j5ny2ls7gayamkdr5y
Current NFT ID #108445 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
108445
Accession (UniProt):
B2U930
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
Ralstonia pickettii (strain 12J)

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 B2U930 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2U930|DXS_RALPJ 1-deoxy-D-xylulose-5-phosphate synthase OS=Ralstonia pickettii (strain 12J) OX=402626 GN=dxs PE=3 SV=1 MTYELLNTIDDPADLRRLDRRQLGPLANELRAFVLDSVSQTGGHLSSNLGTVELTIALHYVFNTPEDRIVWDVGHQSYPHKILTGRRDQMGSLRQLDGISGFPRRSESPYDTFGTAHSSTSISAALGMALGAKTKGEDRVAIAVIGDGAMSAGMAFEAMNNAGVYKDLPLVVVLNDNDMSISPPVGALNRYLARLMSGQFYAATKKGVEKLLSVAPPVLEFAKRFEEHTKGMFVPATMFEEFGFNYIGPIDGHDLESLVPTLQNIRQRAREGGGPQFLHVVTKKGQGYKLAEADPILYHGPGKFNPQEGIKPSGRPAKVTYTQVFGQWLCDMAAADKRLVGITPAMREGSGMVEFEQRFPDRYYDVGIAEQHAVTFAGGLACEGLKPVVAIYSTFLQRGYDQLIHDVALQNLPVVFALDRAGLVGADGATHAGAYDIAYLRCIPNMMVMTPADENECRQLLSTAFAQDCPTAVRYPRGAGTGVTVQPTLEPLPVGKAEVRRTSTAPAGQRVAILAFGSMVAPASAAAERLDATVVNMRFVKPLDVACVLEMARTHDFVVTAEEGCVMGGAGSACLEALAAAGVATPVLQLGLPDRFVDHGDHAALLAQCGLDANGILASIRERFAVQPRAAAPRVA