Q9SY96 Putative F-box/kelch-repeat protein At1g61540 MolNFT, Molecular NFT on GenesisL1

Putative F-box/kelch-repeat protein At1g61540

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiegqdi3pfql4gpxr3ftlacr64sym4a7n7mgzqh6ljlkctvww2pwne/metadata.json

IPFS of structure file:

bafybeic4vvlllmcww4zf4m4o7lbc547gz3i6gdolnbr3zruljp6s364blu/AF-Q9SY96-F1-model_v2.pdb

First NFT owner address (eip-55):

0x19acef217e76EAc343483083349ff33c90b60D4F

First NFT owner address (bech32):

genesis1rxkw7gt7wm4vxs6gxzpnf8ln8jgtvr209kgglx

Current NFT ID #127350 owner (web3):

0xCb401f8eaBf68E8414EA024E2c64eaF424A02547

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
127350
Accession (UniProt):
Q9SY96
Name::
Putative F-box/kelch-repeat protein At1g61540
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 Q9SY96 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SY96|FBK25_ARATH Putative F-box/kelch-repeat protein At1g61540 OS=Arabidopsis thaliana OX=3702 GN=At1g61540 PE=4 SV=1 MNGEKPLRERKKKMPYPSPVTEEPISIMSLPYDLLLNCFSLVSRLYYPTLSLVSKTFRSIITSRELYEIRSRLNRTDKCLYLCFPYDMNTHWFTLCREPNRNVAENSSGYLLVQVPSPNGLLPVHSSSVIAVGSNIYKIGGTKSYRHKLWKRTRYSSSVSVLDCRSHRWRQAPGMRVARGCSSTVCEVDGKIYIAGGCKEDIGSLYWIEVFDPKTQTWGTLKNPCIEYQHDIGYRCEVKSLGLDGKIYMFGSEFVVYNFEEDRWKCIGRDKYNLYHAVDPMSRINSSSCVVDNVLFILDKGTRVFKWYDFKVSLWKELNGVEGLPDLSDRGYVKMVDLGGKIAVLWQECLTNKKIKRIWCAEISLERRDRDEIWGKVEWFDIVLSVHSSFSLLCADTISVVV

Q9SY96 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9SY96 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience