Q65FS7 AF NFT

Glycogen synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigebjcnuqwdeqiat4esbaudc7jzf2nnemgtsbn3dfdx773gto7kzq/metadata.json
IPFS of structure file: 
bafybeihguzkuo26lv4u65iyeyczzysn2yqqdymhwtnnvg32qet5oka3rbi/AF-Q65FS7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe8Ff306D2a96E48e768B46bDe084fFd507F5Db4B
First NFT owner address (bech32): 
genesis1arlnqmf2jmjgua5tg677pp8l65rltk6t7vr55p
Current NFT ID #148021 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
148021
Accession (UniProt):
Q65FS7
Name::
Glycogen synthase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65FS7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65FS7|GLGA_BACLD Glycogen synthase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=glgA PE=3 SV=1 MKVLFAVSECVPFVKSGGLADVAGALPKELALLGIETVVMMPKYSLIAEDVRRRMVKTAECEVRVGWRRQFCGIEHLEHDGVSYYFLDHGYYFNRDSLYGHYDDGERFAFFSRAVLEALYALNFEADVIHTHDWHTGMVNYLLKEEYRKKPFYQHMKSVFTIHNLQFQGIFPKEAVHDLLGLDISHFTTEKLEFYGNINYMKGGIIAADQVTTVSPTYRDEILTPYYGERLEGVLSDKKDALTGILNGIDDVLYDPLNDPHIDYHYDAVNRDGKRKNKAVIQKTFGLPVNEDIPLISMVARLTKQKGFDLIKRVLHELFEEEDMQLIVLGTGEAEFENYFRYMEHAFPDRCKAYIGFHEPLSRKIYAASDLFLMPSKFEPCGLGQLIALRYGAVPVVRETGGLHDTVTAYRETTGEGNGFTFAHFNAHDMKHTIKRALSFYHRKEEWGRIVQKAMTHDVSWALSARQYQRLYSREIKGEAHVLK