B3QR00 Glycogen synthase MolNFT, Molecular NFT on GenesisL1

Glycogen synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidnbh35bjtjkescanb4unoparpnadnuwgk4txh2lwytz3gdppq7v4/metadata.json

IPFS of structure file:

bafybeiddpizjnos7drhedju2eyt5kt3elidlhpiirx2zpfigasiwg2wbla/AF-B3QR00-F1-model_v2.pdb

First NFT owner address (eip-55):

0xE98bd0722a8eEb0377b675F85e9ceBC2DbC988D6

First NFT owner address (bech32):

genesis1ax9aqu323m4sxaakwhu9a88tctdunzxk0ypshx

Current NFT ID #148039 owner (web3):

0xE98bd0722a8eEb0377b675F85e9ceBC2DbC988D6

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
148039
Accession (UniProt):
B3QR00
Name::
Glycogen synthase
Experimental Method:
Predicted structure
Sequence source:
Chlorobaculum parvum (strain DSM 263 / NCIMB 8327)

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 B3QR00 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3QR00|GLGA_CHLP8 Glycogen synthase OS=Chlorobaculum parvum (strain DSM 263 / NCIMB 8327) OX=517417 GN=glgA PE=3 SV=1 MARRNYKVLYVSGEVSPFVRVSSLADFMASFPQALEEEGFEARIMMPKYGIINDRKFRLHDVLRLSDIEVPLKEKTEMLHVKVTALPSSKIQTYFLYNEKHFKRSGLFSDLQLGGDHKGSAEKLIFFSVGVMETLVRLGWQPDIIHCNDWHAGLVPLLARTRYAKHDFFKKVKIVQSVHNVYRQGVFQPKMFQKHLDPEVFDGLEREGDDINLLATGIKYADLVTTTSPSYAKQIASDPESSFGMDKALKACKDRFHGILNGMDTRQWNPSSDKLIKKRYSAAQPELKLEDKKVLLEEVGLPFSEETPVVGVITTFDDVQGMGLLKESLSKLLELDLQLIVSGSGNKEFEQELRDLVEEHPEKLAVNTDFTDAFYHQMIAGLDMLIMPSRIESCGMKQMFAMNYGTVPIAYAGGGIVETIEEVSGDKGTGFVFTDYTAEALTAKLGEALSMFDDKERWAELMREGMERDFSWSASAEQYAELYREILG

B3QR00 AF NFT

MOLNFT AF v1

NFT data

MOLNFT B3QR00 research and analysis (ICN3D with VR)

FASTA sequences

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