Q9Y264 AF NFT

Angiopoietin-4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieenjhggpgmhw5iyyhxfcpyvyfhqdgppkhbmas6y7hmompuirdyhq/metadata.json
IPFS of structure file: 
bafybeig3eqdgfi6vxsayonx3cqmzy2mqq5ob4y543ulfndmwc2jqoz3cyq/AF-Q9Y264-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x56b3ab1d497388E497618145205887Be58924894
First NFT owner address (bech32): 
genesis126e6k82fwwywf9mps9zjqky8hevfyjy5rfd2ll
Current NFT ID #16290 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16290
Accession (UniProt):
Q9Y264
Name::
Angiopoietin-4
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q9Y264 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Y264|ANGP4_HUMAN Angiopoietin-4 OS=Homo sapiens OX=9606 GN=ANGPT4 PE=1 SV=1 MLSQLAMLQGSLLLVVATMSVAQQTRQEADRGCETLVVQHGHCSYTFLLPKSEPCPPGPEVSRDSNTLQRESLANPLHLGKLPTQQVKQLEQALQNNTQWLKKLERAIKTILRSKLEQVQQQMAQNQTAPMLELGTSLLNQTTAQIRKLTDMEAQLLNQTSRMDAQMPETFLSTNKLENQLLLQRQKLQQLQGQNSALEKRLQALETKQQEELASILSKKAKLLNTLSRQSAALTNIERGLRGVRHNSSLLQDQQHSLRQLLVLLRHLVQERANASAPAFIMAGEQVFQDCAEIQRSGASASGVYTIQVSNATKPRKVFCDLQSSGGRWTLIQRRENGTVNFQRNWKDYKQGFGDPAGEHWLGNEVVHQLTRRAAYSLRVELQDWEGHEAYAQYEHFHLGSENQLYRLSVVGYSGSAGRQSSLVLQNTSFSTLDSDNDHCLCKCAQVMSGGWWFDACGLSNLNGVYYHAPDNKYKMDGIRWHYFKGPSYSLRASRMMIRPLDI