Q84JK2 AF NFT

Protein FD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidasx35sbfnvavct3wr5nnpey4hb4lxinkakscfexur2jxw6glgmm/metadata.json
IPFS of structure file: 
bafybeibfbxb6polgzo2pfgmodjyyphcish467hcpao4deodchcrk7lorfi/AF-Q84JK2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3585a7211e5A6fD4E35fc8EBAe71C7dC52c7d56b
First NFT owner address (bech32): 
genesis1xkz6wgg7tfhafc6ler46uuw8m3fv04ttlsys30
Current NFT ID #128488 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
128488
Accession (UniProt):
Q84JK2
Name::
Protein FD
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 Q84JK2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q84JK2|FD_ARATH Protein FD OS=Arabidopsis thaliana OX=3702 GN=FD PE=1 SV=1 MLSSAKHQRNHRLSATNKNQTLTKVSSISSSSPSSSSSSSSTSSSSPLPSQDSQAQKRSLVTMEEVWNDINLASIHHLNRHSPHPQHNHEPRFRGQNHHNQNPNSIFQDFLKGSLNQEPAPTSQTTGSAPNGDSTTVTVLYSSPFPPPATVLSLNSGAGFEFLDNQDPLVTSNSNLHTHHHLSNAHAFNTSFEALVPSSSFGKKRGQDSNEGSGNRRHKRMIKNRESAARSRARKQAYTNELELEVAHLQAENARLKRQQDQLKMAAAIQQPKKNTLQRSSTAPF