A0A0P0ZEM1 AF NFT

Stellatatriene synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigwdqledyyq47rb64ncmqeu6m5lcg4zkb65wn2fwv6sjtd2hqorzu/metadata.json
IPFS of structure file: 
bafybeidzq2sjrayhpmwy2xezxt4xe57gwos6p3gpxdfww6nmv3nm6kq4ue/AF-A0A0P0ZEM1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3081dc88808025FB31a57f263f472A39F836d9F7
First NFT owner address (bech32): 
genesis1xzqaezyqsqjlkvd90unr73e288urdk0hl6apzl
Current NFT ID #439763 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
439763
Accession (UniProt):
A0A0P0ZEM1
Name::
Stellatatriene synthase
Experimental Method:
Predicted structure
Sequence source:
EMERICELLA VARIICOLOR

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 A0A0P0ZEM1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A0P0ZEM1|STLSS_EMEVA Stellatatriene synthase OS=Emericella variicolor OX=1549217 GN=Stl-SS PE=1 SV=1 MEYKFSTVVDPGTYETHGLCEGYEVRYHKNAELEDIGCLRCQEHWRQSVGPLGAFKGTLGNPFNLLSLVIPECLPDRLSIVGFANELAFIHDDVTDIVQYGDAHNNDFKEAFNSMATTGSMENAASGKRALQAYIAREMVRIDKERAIPTIKAWAKFVDYGGRQETTRFTSEKEYTEYRIQDIGLWFWYGLLSFAMALDVPEHEREMCHEVCRTAYVQIMLVHDLASWEKEKLNAAALGKDVITNIIFVLMEEHGISEEEAKERCRETAKTLAADYLKIVEEYKARDDISLDSRKYIESWLYTISGNTVWSFICPRYNSSGSFSDHQLELMKNGVPKDPASGSTNGTSNGTSNGTSHVAVNGNGHVTNDDLSANGIKTDGELLSAITMEHLKNRNSFKLGDHDQEVKSLHGHGQALDPRVLQAPYEYITALPSKGLREQAIDALNVWFRVPTAKLEIIKSITTILHNASLMLDDVEDGSELRRGKPATHNIFGLGQTINSANYQLVRALQELQKLGDARSLLVFTEELHNLYVGQSMDLYWTSNLVCPSMHEYFQMIEHKTGGLFRLFGRLMAVHSTNPVQVDLTDFTNHLGRYFQTRDDYQNLVSAEYTKQKGFCEDFEEGKFSLPMIHLMQTMPDNLVLRNVWTQRRVNGTATHGQKQTILNLMKEAGTLKFTQDSLGVLYSDVEKSVAELESKFGIENFQLRLIMELLKTG