Q9FJT2 Putative F-box/FBD/LRR-repeat protein At5g56810 MolNFT, Molecular NFT on GenesisL1

Putative F-box/FBD/LRR-repeat protein At5g56810

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeih5nlfkzp4bx2bjkcgwlogl7d2sm3tmlkljkvr7sflu2akdyxmxye/metadata.json

IPFS of structure file:

bafybeiec6dn3waxxwxkab2ylua3lf7d2t6h7gr7pemzefeiv6tzp23qkwm/AF-Q9FJT2-F1-model_v2.pdb

First NFT owner address (eip-55):

0xCA1c1AD56086E5C8CfCf3d7aaCe8AAc1109763Cb

First NFT owner address (bech32):

genesis1egwp44tqsmju3n7084a2e692cygfwc7tejgmk7

Current NFT ID #128428 owner (web3):

0xF1d558F974aC5dFBd7A4e521d1420b719Dc255B5

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
128428
Accession (UniProt):
Q9FJT2
Name::
Putative F-box/FBD/LRR-repeat protein At5g56810
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 Q9FJT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FJT2|FDL40_ARATH Putative F-box/FBD/LRR-repeat protein At5g56810 OS=Arabidopsis thaliana OX=3702 GN=At5g56810 PE=4 SV=1 MEAARSGIEDVTSPDRISQLPNDLLFRILSLIPVSDAMSTSLLSKRWKSVWKMLPTLVYNENSCSNIGSLGFDQFCGRSLQLHEAPLLKTLTLELRKQTDSLDSSIFPNIHSTLLEFSIKSTGYPVYYSTISFPNNLDVFQTLVVLKLQGNICLDVVDSPVCFQSLKSLYLTCVNFENEESFSKLLSACPVLEDLFLQRLCSVGRFLFSISVPSLQRLTYTKEQAYYSNDEAILEITAPSLKHLNIFDRVGVFSFIEDMPKLVEASVRVKLSKNEKLPKVLTSVEHLSLDLYPSMVFHLDDRFISKQLLHLKLDIYDNFQSNLLLSLLKDLPNLQSLKLNHSHPSYNVEDQPCSVSEPSSVPECLSFHLETFQWIGYAGTFEEIAAAVYVLKNARCLKNATISLYSRGTENGLMMIKELESMSKGSIMCQLLVKF

Q9FJT2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9FJT2 research and analysis (ICN3D with VR)

FASTA sequences

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