Q9FWS3 AF NFT | MOLNFT bioinformatics, blockchain

Zinc finger CCCH domain-containing protein 16

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeig3sjrra3a4ba45dc7ikkp5sjbak3xehz6wxddxg6xbd2cubrsf3y/metadata.json

IPFS of structure file:

bafybeibddabt4opwarmn2r7d6ps3eeatohvv2npmknj7s3kue5cwphydj4/AF-Q9FWS3-F1-model_v2.pdb

First NFT owner address (eip-55):

0x1fcE3327393F11CD8ba520910874709681603C79

First NFT owner address (bech32):

genesis1rl8rxfee8ugumza9yzgssarsj6qkq0reqg6k8a

Current NFT ID #47900 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
47900
Accession (UniProt):
Q9FWS3
Name::
Zinc finger CCCH domain-containing protein 16
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 Q9FWS3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FWS3|C3H16_ARATH Zinc finger CCCH domain-containing protein 16 OS=Arabidopsis thaliana OX=3702 GN=CG1 PE=1 SV=2 MRKELCRNFQRGSCRYGENCRFLHPQQAKPNNPFGFGTQNQQQQQQQQQQNSSNPFGFGVQSGGSSRPNQFQNTWSRTASTPTGGGAAASTQQTGKQTQPADHKCTDPAACKRVMQDDFKNERPMWKLTCYGHWKYFPCDVTGDISYEELRAVAYEEAKRGIPLQSIVERERNLQNSKIAEFENFLRNPYKGSVTANQSPFAATTPSIFPQSSQINSPSPAFSGFNQQTAFSNTNAGGLSSSGPPNAFASFNQQTTFPNTNAGGVSSSGPPNPFASFTQQSNNQQTAFSNTNAGGLSSSGPPNAFASFNKQPNAFSVNTPQPVPSGPSGFQTNPSTTFKPASFGPGPGFATTPQNNNIFGQSTPTPATNTSQNNQTAFNFNVPVASFTAPAINTTNTSSGTELQIGGDPVDSSIWLKEKWNPGEIPEQAPPDAFV