D0KQM8 AF NFT

Alpha-glucosidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibbvbqbyzfgkzp45oq2nasamog6gxmceailofkk5nyi2m6uvbz7pq/metadata.json
IPFS of structure file: 
bafybeictgnk5gshmfwypm7q7sf36fpqwed47cb6ourj345z5nivdfdif5q/AF-D0KQM8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6c0ed31180Cc0c9710f03b1b73d6101358ba9204
First NFT owner address (bech32): 
genesis1ds8dxyvqesxfwy8s8vdh84sszdvt4ysyw7alkk
Current NFT ID #11368 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
11368
Accession (UniProt):
D0KQM8
Name::
Alpha-glucosidase
Experimental Method:
Predicted structure
Sequence source:
Saccharolobus solfataricus (strain 98/2)

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 D0KQM8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|D0KQM8|AGLU_SACS9 Alpha-glucosidase OS=Saccharolobus solfataricus (strain 98/2) OX=555311 GN=malA PE=1 SV=1 MQTIKIYENKGVYKVVIGEPFPPIEFPLEQKISSNKSLSELGLTIVQQGNKVIVEKSLDLKEHIIGLGEKAFELDRKRKRYVMYNVDAGAYKKYQDPLYVSIPLFISVKDGVATGYFFNSASKVIFDVGLEEYDKVIVTIPEDSVEFYVIEGPRIEDVLEKYTELTGKPFLPPMWAFGYMISRYSYYPQDKVVELVDIMQKEGFRVAGVFLDIHYMDSYKLFTWHPYRFPEPKKLIDELHKRNVKLITIVDHGIRVDQNYSPFLSGMGKFCEIESGELFVGKMWPGTTVYPDFFREDTREWWAGLISEWLSQGVDGIWLDMNEPTDFSRAIEIRDVLSSLPVQFRDDRLVTTFPDNVVHYLRGKRVKHEKVRNAYPLYEAMATFKGFRTSHRNEIFILSRAGYAGIQRYAFIWTGDNTPSWDDLKLQLQLVLGLSISGVPFVGCDIGGFQGRNFAEIDNSMDLLVKYYALALFFPFYRSHKATDGIDTEPVFLPDYYKEKVKEIVELRYKFLPYIYSLALEASEKGHPVIRPLFYEFQDDDDMYRIEDEYMVGKYLLYAPIVSKEESRLVTLPRGKWYNYWNGEIINGKSVVKSTHELPIYLREGSIIPLEGDELIVYGETSFKRYDNAEITSSSNEIKFSREIYVSKLTITSEKPVSKIIVDDSKEIQVEKTMQNTYVAKINQKIRGKINLEGSVLKQS