Q6DGW9 AF NFT

Calcium load-activated calcium channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiebn6l6m32ilqew2cdlzsyvkfxm5o6spcbjjpg4knl7na6jk4na5i/metadata.json
IPFS of structure file: 
bafybeifufsjxvqybjolh2vrrprcgpvxdzojecuhdizwvsxqwiulgg24lra/AF-Q6DGW9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA985B6095a9a818c5b67148D3932856860A953Ef
First NFT owner address (bech32): 
genesis14xzmvz26n2qcckm8zjxnjv59dps2j5l0kq2vga
Current NFT ID #468503 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
468503
Accession (UniProt):
Q6DGW9
Name::
Calcium load-activated calcium channel
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q6DGW9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6DGW9|TMCO1_DANRE Calcium load-activated calcium channel OS=Danio rerio OX=7955 GN=tmco1 PE=2 SV=1 MSTMFADTILIVFISICTALLAEGITWVLVYRTDKYKRLKAEVEKQSKKLEKKKETITESAGRQQKKKIERQEEKLKNNNRDLSMVRMKSMFAIGFCFTALMGMFNSIFDGRVVAKLPFVPLSYIQGLSHRNLLGEDYTDCSFIFLYILCTMSIRQNIQKMLGLAPSRAATKQAGGFLGPPPQAAKFS