Q9W698 AF NFT

1-aminocyclopropane-1-carboxylate synthase-like protein 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiggegiorqfortjper3jlhlna6j2kck5blhnbhkvu7mpgsvibbcxqu/metadata.json
IPFS of structure file: 
bafybeihe5ahgbi6khdt6u2jpxybulkbwrfguyszwdwavprpqmwjocznrqa/AF-Q9W698-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3F7c838ccc23133e72aA1c8841D2c157C4B4810a
First NFT owner address (bech32): 
genesis18a7g8rxvyvfnuu42rjyyr5kp2lztfqg2vyg6mc
Current NFT ID #293 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
293
Accession (UniProt):
Q9W698
Name::
1-aminocyclopropane-1-carboxylate synthase-like protein 1
Experimental Method:
Predicted structure
Sequence source:
TAKIFUGU RUBRIPES

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 Q9W698 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W698|1A1L1_TAKRU 1-aminocyclopropane-1-carboxylate synthase-like protein 1 OS=Takifugu rubripes OX=31033 GN=accs PE=3 SV=1 MLTEALVAVRQGTQTPAAQTTCAPSTMSSSSRPPLETLQAQSVSADETPGSALPACAQPCETARSATPTGGETPNRSRYLSHRGNSIRQQQGILQEGFLLYSLDKFHETDKPDGIINLGTSENKLCHDLLHERLTRPDMLLLDPPLLQYPDWSGHQFLREEVAKFLTDYCCSPKPLKAENVVVMNGCASLFSCIASVICDPKDAILISTPFYGAITEHLGLYSDVKLYHIHLDCEASGEDGRLFHLTVDKLEEGLRRAEHEGFIVRGLVLMNPHNPLADIYTPKEMVGFLEFAKRNELHTIVDEVYMLSVFDESVTFDSVLSLESVPDPQRTHVMWGLGKDFAMAGIRVGTLYSESRDLVEAVAKLGAFHGIPGTTQRQVAQLLQDREWIDTQYLPRNRSRLKAARSYVTGELRGLDVPYLDRSAAMFVWADLRKFLAEPSFEEEMRLWRHFLKHKVVLSCGQAFSCSTPGWFRIVFSDQDRRLKLGMKRIKEALEEYKDQITVTDCYSIKDGGPRVRASGKDSDNAAIVGSTLPQGKSSDMLEEKDHTVQAGLGADELVLRDCQPSKPAEGLDSLIGTLRHQIRSSDWLEKNTPELSAGEDPEILDVFKALLERARK