B0JL88 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifnqguvwoqewrye7bo5xe7b4zr7lhgilawvi3ctuxw4atfj2bu7jq/metadata.json
IPFS of structure file: 
bafybeihogxot67hla44jdg4afivt7gfbfll3ycs523ymntyu4wozhrwatm/AF-B0JL88-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #108348 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
108348
Accession (UniProt):
B0JL88
Name::
1-deoxy-D-xylulose-5-phosphate synthase
Experimental Method:
Predicted structure
Sequence source:
Microcystis aeruginosa (strain NIES-843)

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 B0JL88 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0JL88|DXS_MICAN 1-deoxy-D-xylulose-5-phosphate synthase OS=Microcystis aeruginosa (strain NIES-843) OX=449447 GN=dxs PE=3 SV=1 MHLSEITHPNQLHGLSLRQLEDIARQIREKHLQTIAATGGHLGPGLGVVELTIALYQTLDLDRDKVLWDVGHQAYPHKLLTGRYNDFHTLRQKDGIAGYLKRCESKFDHFGAGHASTSISAGLGMALARDAKGEDFKVVSIIGDGALTGGMALEAINHAGHLPNTNIMVILNDNEMSISPNVGAISRYLNKVRLSEPVQFIADNLEEQFKNLPFFGDSLTPEMERVKEGMKRLAVPKVGAVIEELGFKYFGPIDGHNIPELIATFKQAHKVHGPVFVHVATVKGKGYEWAEKDQVGYHAQNPFNLATGKPIPSSKPKPPAYSKVFGHTLTKLAENDPRIIGITAAMATGTGLDKFQAKLPKQYIDVGIAEQHAVTLAGGLACEGMRPVVTIYSTFLQRAFDQIIHDICIQNLPVFFCMDRAGIVGADGPTHQGMYDIAYLRCIPNMTIMAPKDEAELQRMVVTGINHTSGPIAMRYPRGNGLGVPLMEEGWEALPIGKGEILRSGDDILLLGYGTMVNTSLQVAEILSEHGIEATVVNARFVKPLDTELIFPLAQRLGKVVTLEEGCLMGGFGSAVLEALQDANILVPVKRFGVPDKLVDHATPEESFADLGLTSPQIAQQVLAAFFSQKQTANVG