Q9C7I7 AF NFT

MLP-like protein 165

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih5yyivhckb5sitgx777urlmdkxqgal56ytruyrnyipp5qxmo53gu/metadata.json
IPFS of structure file: 
bafybeic2aj32kraod2cjepnih5rtwkros3jafkgowlcfe2qjnwa4ryhvbi/AF-Q9C7I7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3a312d9A90f3bb89BFC42BF4b95c23D7295582F9
First NFT owner address (bech32): 
genesis18gcjmx5s7wacn07y906tjhpr6u54tqheleww00
Current NFT ID #236512 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
236512
Accession (UniProt):
Q9C7I7
Name::
MLP-like protein 165
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 Q9C7I7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C7I7|ML165_ARATH MLP-like protein 165 OS=Arabidopsis thaliana OX=3702 GN=MLP165 PE=2 SV=1 MIEEEIEVDVDIKTRADKFHKFIRRSQHVPKATHYIKGCDLLEGEWGKVGSILLWKLVFDGEPRVSKDMIEVIDEEKNVIQLRVLEGPLKKEYKSFLKTMKVMSPKHGGPGSVVKWNMKYERIDQNVDHPNRLLQFFVEVTKEIDQYLLSKD