Q9XFK7 AF NFT

Protein MOTHER of FT and TFL1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicldtyogpaqdcjzuxc52jze6ectrvumvxvsjnywcepr6cgwwn5izm/metadata.json
IPFS of structure file: 
bafybeid3gseom5bcbmdw5j7cwikmdvf3kg7i6uzb4cobs5pslid6b4uac4/AF-Q9XFK7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC9075b2fd0bC3ff4261FE92D17587c9E60eB656b
First NFT owner address (bech32): 
genesis1eyr4kt7shsllgfslayk3wkruneswkett2rau83
Current NFT ID #232988 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
232988
Accession (UniProt):
Q9XFK7
Name::
Protein MOTHER of FT and TFL1
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 Q9XFK7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9XFK7|MFT_ARATH Protein MOTHER of FT and TFL1 OS=Arabidopsis thaliana OX=3702 GN=MFT PE=1 SV=1 MAASVDPLVVGRVIGDVLDMFIPTANMSVYFGPKHITNGCEIKPSTAVNPPKVNISGHSDELYTLVMTDPDAPSPSEPNMREWVHWIVVDIPGGTNPSRGKEILPYMEPRPPVGIHRYILVLFRQNSPVGLMVQQPPSRANFSTRMFAGHFDLGLPVATVYFNAQKEPASRRR