Q9SWA6 AF NFT

Negative regulator of systemic acquired resistance SNI1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidqflicvveoquirrnhst6qw4sld4oklzqajcmbzhwt42lrlyl2q3u/metadata.json
IPFS of structure file: 
bafybeieq7j2q5igtno3fpdnccc5mv4bxk3lwgejzaqybbkdtlz42cgm5pi/AF-Q9SWA6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfAEAF51Ab1C077b86505caA5d00c4937c9795c60
First NFT owner address (bech32): 
genesis1lt402x43cpmmseg9e2jaqrzfxlyhjhrqy345ha
Current NFT ID #431727 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431727
Accession (UniProt):
Q9SWA6
Name::
Negative regulator of systemic acquired resistance SNI1
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 Q9SWA6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SWA6|SNI1_ARATH Negative regulator of systemic acquired resistance SNI1 OS=Arabidopsis thaliana OX=3702 GN=SNI1 PE=1 SV=1 MSKETKGNNNTSRVMSGYGGSLEANTLAMIDSTGAKDSRDANEDRLQYLEAVRAASLVPENGIPPTNKMYQAIFRILRFGKTLELITASFQLLTQLHQRFPWVYVSDSADQLDIVDEAWSPFNFGSDVDSDEKDLSVRSLFLQQLIQNMNKRVNESEESDLKILGNMFLFKYLAHVLKLDFTPRNQVYEETMNWSLLKESFLNLLLASRKVNFKLLMKDYLSTMCASIDADEKSISLVELHKDMLTAMKELLVMIMELDTSKKKADLEGITSRGDGVRTPAMEIILDELTYDGYLLSKFLQVFDDPKWKLEIVLQYLTKYIPKPVVRTRRTTVPQAEDSKTLNGILKTFSNGTNPKNITKKIGPDIVQILIGHAFLARLTFSDPHEGDSISEICSSIISAFTSLKRVDQKIEILPFGKEVLFTAGMVLKAKA