Q9CJM5 AF NFT

Uncharacterized protein PM1972

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiatypjney4kbf4ugarru3nbjiti2o6hdene6rhqabvbguih5iyx3a/metadata.json
IPFS of structure file: 
bafybeibk52scrji6vklbgwg77l26daolcdmkaj7r2dhqipdrts5obzhbcu/AF-Q9CJM5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA69277C1912f2C1a1dF13BfDFDd59c0e314Da1B7
First NFT owner address (bech32): 
genesis156f80sv39ukp5803807lm4vupcc5mgdhzvm2pj
Current NFT ID #510269 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
510269
Accession (UniProt):
Q9CJM5
Name::
Uncharacterized protein PM1972
Experimental Method:
Predicted structure
Sequence source:
PASTEURELLA MULTOCIDA (STRAIN PM70)

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 Q9CJM5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CJM5|Y1972_PASMU Uncharacterized protein PM1972 OS=Pasteurella multocida (strain Pm70) OX=272843 GN=PM1972 PE=3 SV=1 MFLFPSLLSSFCITLRSISCDLFIFQIEYSFLLPRNKMKNKKLKMKYFYFILINLFSNCDLTHFFQNRNDL