Q9LP65 AF NFT

Protein C2-DOMAIN ABA-RELATED 5

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifi3zyr42i7aaskgbasd74wvgw7jcwfqb6spc54axzujh4e2ikgzi/metadata.json
IPFS of structure file: 
bafybeift2ehlkko4a6v6revgynslxi7bhgb7hqlccibuehbiqdsfrigs4q/AF-Q9LP65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1D58c05FDe6847ACA12d0a86ffEe593119157D18
First NFT owner address (bech32): 
genesis1r4vvqh77dpr6egfdp2r0lmjexyv32lgcz7rzt7
Current NFT ID #50744 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
50744
Accession (UniProt):
Q9LP65
Name::
Protein C2-DOMAIN ABA-RELATED 5
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 Q9LP65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LP65|CAR5_ARATH Protein C2-DOMAIN ABA-RELATED 5 OS=Arabidopsis thaliana OX=3702 GN=CAR5 PE=2 SV=1 MIVSFLYFSSLFPTSLRKINLVAGEKHKDRRMKPSLMDSLLGLLRIRIKRGVNLAVRDLNSSDPYVVVKMAKQKLKTRVIYKNVNPEWNEDLTLSVSDPNLTVLLTVYDYDTFTKDDKMGDAEFGIKPFVNALKMHLHDLPSGTIVTTVQPSRDNCLAEESRVIWSDGKLVQDIVLRLRHVECGEVEAQLQWIDLPGKGL