A8C981 AF NFT

Taraxerol synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicheasoly5jntodnxheqlm3rsv3y2luawlqis6wicpe45zg73gwie/metadata.json
IPFS of structure file: 
bafybeiaklkgiwb3x2bikgsdcdfrtamcwblep4agqdut3zyd4e6cx7wm4wi/AF-A8C981-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7827f7B56a7c719b0EaeD83AF7DF9251AC6C0C19
First NFT owner address (bech32): 
genesis10qnl0dt203cekr4wmqa00huj2xkxcrqeh75t7v
Current NFT ID #458032 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
458032
Accession (UniProt):
A8C981
Name::
Taraxerol synthase
Experimental Method:
Predicted structure
Sequence source:
Rhizophora stylosa

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 A8C981 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8C981|TARS_RHISY Taraxerol synthase OS=Rhizophora stylosa OX=98588 GN=M2 PE=2 SV=1 MGVWRLKIGEGANNPYLTSTNNFVGRQTWVFEPDGGTPEERDQVEEARQNYFKNRFRVRPCSDLLWQMQFLREKNFRQKIPQVKVRDGEEINYETVTNAIRRSAHYLSATQSSDGFWPADASAPVFYLAPWVIGLYVIGHLNTVFPAEHQKEILRYIYCHQNEDGGWGLHYEDGGTMFGTAFNYVCMRILGEGPGGGRDNACERARKGILDHGGVTYIPSGGKTWLAMLGVFDWSGCNPMPPEFWMLPPFFPMHPAQMWCYCRIVYMPMSYLYGRRFVGPITPLVQQLREELHTQPFHEIEWSKARHLCAKEDLFHRRPWIQELFWDCLHTFAEPLLTRWPLNNFIREKALKITMEHVHYDDKASHYINPGSVEKVICMVACWVEDPSGEPFQRHLARISDYVWIAEDGMRITGIGSQTWDAALSIQALIACNLIEEMGPTLKKGYDFLKNSQAKDNPPGDFKRMYRHFGKGAWAFSSQDYGVIALDCTAESLMCCLHFSMMPPEIVGEKLEPEKLYLAVDFILSLQSKNGGLTCWEPARGGKWLEVLNPLEFFENIVVEHEYVEVTASAINALVMFKKRYPGYREKEIEHFISKAVHYLIQTQFPNGPWYGVWGICFMYGTYFALKGLAAAGNTYANCPAIPKAVDFLLKTQCQDGGWGESYLSGTTKVYTPLEGNRSNLVQTAWALMGLIHSGQAERDPTPLHRSAKLLINSQTSDGDFPQQDSTGLLKGSCAMHYAAYRNIFPLWALAAYRTHVLGLTSKAHSSAVME