Q9CN32 AF NFT

Uncharacterized protein PM0613

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeianteg57hcnjnllntiu267msv3djn3valddktohehuhibk6qkmozy/metadata.json
IPFS of structure file: 
bafybeicglktqduj4tkxodlnqzy75t5f6k5iacxdwpaxwr4s7tfntrxpcmq/AF-Q9CN32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5Ded1C9cb4c4020CEee9D7f2723AAB1C7B706Fd9
First NFT owner address (bech32): 
genesis1thk3e895cspqemhf6le8yw4tr3ahqm7efe6gf6
Current NFT ID #520196 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
520196
Accession (UniProt):
Q9CN32
Name::
Uncharacterized protein PM0613
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 Q9CN32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CN32|Y613_PASMU Uncharacterized protein PM0613 OS=Pasteurella multocida (strain Pm70) OX=272843 GN=PM0613 PE=4 SV=1 MQILQKIKNITLTSLELIHVRLDMARIELVEQKNFLITLLSALFVIFILLLVSFISLLFGLNSLLDPETKQIVFFAISAGAFFLILILLLLMRKILKKQRNFMVDTLTEVKHDIQAIKGALGSPSSKDQE