Q9FKZ2 AF NFT

Probable disease resistance protein At5g66890

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibpowl6c7zunl2rbiftmmm4hw3uk6bcfowdrs55hjhaozv3v7zxma/metadata.json
IPFS of structure file: 
bafybeiefttc7yyp7d7krg37vo6nsvgriqiot77adaywckvrny4gw2pbdui/AF-Q9FKZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x619F51Fb686eB178E60C23E8610260c3C69601D6
First NFT owner address (bech32): 
genesis1vx04r7mgd6ch3esvy05xzqnqc0rfvqwk6kq4d4
Current NFT ID #105259 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
105259
Accession (UniProt):
Q9FKZ2
Name::
Probable disease resistance protein At5g66890
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 Q9FKZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FKZ2|DRL41_ARATH Probable disease resistance protein At5g66890 OS=Arabidopsis thaliana OX=3702 GN=At5g66890 PE=3 SV=1 MNSNSIQSFDALPHNLRECFLDMASFLEDQRIIASTIIDLWSASYGKEGMNNLQDLASRNLLKLLPIGRNEYEDGFYNELLVKQDNVLREFAINQCLKESSSIFERKRLNLEIQDNKFPNWCLNPKQPIVINASLFSISTDDSFASSWFEMDCPNVEALVLNISSSNYALPNFIATMKELKVVIIINHGLEPAKLTNLSCLSSLPNLKRIRFEKVSISLLDIPKLGLKSLEKLSLWFCHVVDALNELEDVSETLQSLQEIEIDYCYNLDELPYWISQVVSLKKLSVTNCNKLCRVIEAIGDLRDLETLRLSSCASLLELPETIDRLDNLRFLDVSGGFQLKNLPLEIGKLKKLEKISMKDCYRCELPDSVKNLENLEVKCDEDTAFLWKILKPEMKNLTITEEKTEHNLNLLQLF