Q97U94 AF NFT

Alpha-galactosidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif5p3sdavwfeayz244b66temns3wv4kjhaqenpm34h24nuf3jqltu/metadata.json
IPFS of structure file: 
bafybeidkyqjd756vzb3kkgcyale7u44tt4eicgiqqm4cznhadu7lnlvdde/AF-Q97U94-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x51586Ae05507Caa92BD4cE6481a60150253d4e33
First NFT owner address (bech32): 
genesis129vx4cz4ql92j275eejgrfsp2qjn6n3n3cdwww
Current NFT ID #11143 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
11143
Accession (UniProt):
Q97U94
Name::
Alpha-galactosidase
Experimental Method:
Predicted structure
Sequence source:
SACCHAROLOBUS SOLFATARICUS (STRAIN ATCC 35092 / DSM 1617 / JCM 11322 / P2)

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 Q97U94 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q97U94|AGAL_SACS2 Alpha-galactosidase OS=Saccharolobus solfataricus (strain ATCC 35092 / DSM 1617 / JCM 11322 / P2) OX=273057 GN=galS PE=1 SV=2 MIWIEDENGNKYQCDSNGNCENLAIVKVNTKEYNNDGKIYSIEGKSFVKLSKFPITLKLNLKADQILSLTTQQIYSEVYGKAFTYYNQLAIDMEPVTEPPKELKYDIKSLDHEKYIRTYPCWLYPVFNNIPDYTVFALVKSGNSYEAFFTLSNNYVTAYLFGDSVRLYTGFNTDEIKRSYFLSIGTSDNPYKAIENAINIASKETFTFKLRKEKGFPDKVMNGLGWCSWNAFLTKDLNEENLIKVVKGIIERGLRLNWVIIDDGWQDQNNDRAIRSLNPDNKKFPNGFKNTVRAIKSLGVKYVGLWHAINAHWGGMSQELMKSLNVNGYFTNFLNSYVPSPNLEDAIGFYKAFDGNILRDFDLVKVDNQWVIHAIYDSFPIGLASRNIQIALQYSVGKDVINCMSMNPENYCNYFYSNVMRNSIDYVPFWKDGTKLHIMFNAYNSLLTSHIVYPDYDMFMSYDPYAKVHLVARVFSGGPIYITDRHPERTNIELLRMAVLPNGEVIRVDEPALITEDLLFKDPLRERVLLKLKGKVKGYNAIAFFNLNSGEVEEEYNNNEDYYYYKVFSGEFGVGKFNVKLRELDAEVVITFPKSNRVIGLREYILPPFTVIVSDNVVIPKADGTLLYVKDTELNEVKAREGIPVTIE