Q9SMU7 AF NFT

Signal recognition particle 9 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia5o3lpzi7m233wjs3ccpl2fyjuf4lj6a3wyrmphwx3xq4hztbqji/metadata.json
IPFS of structure file: 
bafybeia7bzyo7oig26ix43zvykkxjplr3zwu5pue7igzung2gaqyqcst5m/AF-Q9SMU7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa280Bd698F54F95C5d00f33Dc7edA335E38de780
First NFT owner address (bech32): 
genesis152qt66v02nu4chgq7v7u0mdrxh3cmeuqz3dtsu
Current NFT ID #436606 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436606
Accession (UniProt):
Q9SMU7
Name::
Signal recognition particle 9 kDa protein
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9SMU7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SMU7|SRP09_ARATH Signal recognition particle 9 kDa protein OS=Arabidopsis thaliana OX=3702 GN=SRP9 PE=3 SV=1 MVYIASWDEFVDRSVQLFRADPESTRYVMKYRHCDGKLVLKVTDNKECLKFKTDQAQEAKKMEKLNNIFFTLMARGPDVDLSEVTGKEQMETQPAKKGRGRKQ