A4TCS5 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigecpdpporv4nywjwpd4pjzsqsrz6xj2uk3c4r6grsbiyevs5ukam/metadata.json
IPFS of structure file: 
bafybeibjzhjka44piscji7guqf24gwzmzwmj7c4c7npzl7u7thoss25ala/AF-A4TCS5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA5c98ce6810a16B92Cbab4B878Cb05BeDef05E8E
First NFT owner address (bech32): 
genesis15hycee5ppgttjt96kju83jc9hm00qh5wkzg8z8
Current NFT ID #108355 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
108355
Accession (UniProt):
A4TCS5
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
Mycolicibacterium gilvum (strain PYR-GCK)

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 A4TCS5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4TCS5|DXS_MYCGI 1-deoxy-D-xylulose-5-phosphate synthase OS=Mycolicibacterium gilvum (strain PYR-GCK) OX=350054 GN=dxs PE=3 SV=1 MLEQIRGPADLQHLSRAQMEDLAREIRDFLIHKVAATGGHLGPNLGVVELTLALHRVFDSPHDPILFDTGHQAYVHKMLTGRSRDFDTLRKKDGLSGYPSRSESEHDWVESSHASSALSYADGLAKAFELNGHRNRHVVAVVGDGALTGGMCWEALNNIAASRRPVVIVVNDNGRSYAPTIGGFAEHLAGLRLQPGYERVLEEGRKAVRGVPMIGEFCYQCMHSIKAGIKDALSPQVMFTDLGLKYVGPIDGHDESAVEGALRHARAFNAPVVVHVVTRKGMGYAPAENDVDEQMHACGVIDPETGLATSVPGPGWTAAFSETLIELAAKRRDIVAITAAMPGPTGLSAFRKRFPDRFFDVGIAEQHAMTSAAGLAMGGMHPVVALYSTFLNRAFDQMLMDVALHKLPVTMVLDRSGITGPDGASHNGMWDLSILGIVPGMRVAAPRDGARLREELAEAVEVKDGPTAVRFPKGDVGEDIPAIERRDGVDVLAVPADGLSDDVLIIAVGAFAAMSVAVAERLRDQGIGVTVVDPRWVLPVPAAINTLAAAHKLVVTVEDNGGHGGVGSAVSAALRRAEIDVPCRDAALPQAFFDHASRGEVLAEVGLTERTIARQITGWVAALGATAGDRQVSESVD