Q6R2K2 AF NFT

Protein STRUBBELIG-RECEPTOR FAMILY 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifvwoyh4lrmdxan2u5rjlzmmviajzfp7s7wxdvjoj5fooskdcxtcy/metadata.json
IPFS of structure file: 
bafybeieatloymzcyuz6vtxyw7p56scko23dlp4ovg4f7lxc5j7wcm6rfwi/AF-Q6R2K2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x28e51F615E58598362D09182b4f56f5cAD52f49a
First NFT owner address (bech32): 
genesis19rj37c27tpvcxcksjxptfat0tjk49ay6xansak
Current NFT ID #436488 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
436488
Accession (UniProt):
Q6R2K2
Name::
Protein STRUBBELIG-RECEPTOR FAMILY 4
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 Q6R2K2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6R2K2|SRF4_ARATH Protein STRUBBELIG-RECEPTOR FAMILY 4 OS=Arabidopsis thaliana OX=3702 GN=SRF4 PE=2 SV=1 MGPNLQRIVLVFIACFGIFTSVVLAKTDSQDVSALNDAYKSMNSPSKLKGWSSSGGDPCGDSWDGITCKGSSVTEIKVSGRGLSGSLGYQLGNLKSLTYLDVSKNNLNGNLPYQLPDKLTYLDGSENDFNGNVPYSVSLMNDLSYLNLGRNNLNGELSDMFQKLPKLETIDLSSNQLTGKLPQSFANLTGLKTLHLQENQFKGSINALRDLPQIDDVNVANNQFTGWIPNELKNIGNLETGGNKWSSGRAPSPPPGTRHIDRNSSGGGGGSSKALTLGVIIAVSSIGGLILFAGLIALISRRKNSNDSSHFFDDEKGTNRSKPLFTPQSSQMLQFDNMEEFKNQKTVDSNTSLETKPSVKRTSSVSFKNSPTFHLIPSTQVAATPDRSSTSQDSPDTRGVKAFSLADLQNTASCFSPNRLLGEGTIGRVYKAKFQDGRKFAVKEIDSSLLGKGNPEEFSHIVSSISSIHHKNMAELVGYCSEQGRNMLVYEYFTSGSLHRFLHLSDDFSKPLTWNTRIRIALGTAKAIEYLHETCSPPLVHKNIKSSNILLDNELNPRLSDYGLANFHHRTSQNLGVGYNAPECTDPSAYTQKSDVYSFGVVMLELLTGRKPYDSGRPKAEQSLVRWAKPQLKDMDTLDEMVDPALCGLYAPESVSSFADIVSICVMTEPGLRPPVSNVVEALKRLV