Q9C7C3 AF NFT

Zinc finger CCCH domain-containing protein 36

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibchhvwzp2q2ke2kxzl5rmmbvy5fs7vwfqwmtaxy2ke2z7mplcheu/metadata.json
IPFS of structure file: 
bafybeiaygmqrliqo76moczsike3k5moo7hg3cjhx5d6ptunq2gs54pvoja/AF-Q9C7C3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #47942 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
47942
Accession (UniProt):
Q9C7C3
Name::
Zinc finger CCCH domain-containing protein 36
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 Q9C7C3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C7C3|C3H36_ARATH Zinc finger CCCH domain-containing protein 36 OS=Arabidopsis thaliana OX=3702 GN=At3g12130 PE=2 SV=1 MDTRKRGRPEAGSFNSNGGGYKKSKQEMESYSTGLGSKSKPCTKFFSTSGCPFGENCHFLHYVPGGYNAVSQMTNMGPPIPQVSRNMQGSGNGGRFSGRGESGPGHVSNFGDSATARFSVDASLAGAIIGKGGVSSKQICRQTGVKLSIQDHERDPNLKNIVLEGTLEQISEASAMVKDLIGRLNSAAKKPPGGGLGGGGGMGSEGKPHPGSNFKTKICERFSKGNCTFGDRCHFAHGEAELRKSGIV