Q9LVA7 AF NFT

Chloride conductance regulatory protein ICln

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidj5azxpnefqkx3c2sc5pdb2a7auqhjnmzjf4jroiczs4rebadaxe/metadata.json
IPFS of structure file: 
bafybeicayp3wcruksyzlgsiawmabzik6er265s323zkz5ulmt2qeeb7ggu/AF-Q9LVA7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8E8D80fE94Dd5e533A2E21A78270Ddf47E8CB724
First NFT owner address (bech32): 
genesis136xcpl55m409xw3wyxncyuxa73lgedeyuuu5ds
Current NFT ID #183425 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
183425
Accession (UniProt):
Q9LVA7
Name::
Chloride conductance regulatory protein ICln
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 Q9LVA7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LVA7|ICLN_ARATH Chloride conductance regulatory protein ICln OS=Arabidopsis thaliana OX=3702 GN=At5g62290 PE=2 SV=1 MVAGLRDFTLRTEDGSGKPVLDESNGEELMHVQTSVAVALGNRPIESPGTLYITSRKLIWLSDVDMAKGYAVDFLSISLHAVSRDPEAYSSPCIYTQIEVEEDEDDESDSESTEVLDLSKIREMRLVPSDSTQLETLFDVFCECAELNPEPVQEEEEESGHNWVFSADQMDVRGGDDDAEWQISQSPTSVIGHSNGDEGLNQPMLELQINDQRFEDAEEMVHESETKDH