Q9CNN3 AF NFT

Methylglyoxal synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia7npbk4fxxatddak67lguseotddvtqx3kgkyioyjnpjtbqxkbzqq/metadata.json
IPFS of structure file: 
bafybeie54zcobfgdlvupo7yxal2mrvhgbiv6eya2xz74hmqtp3oij54p6i/AF-Q9CNN3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeed72B55F0dD4B7707c70e598051F9ab5d1Eb12c
First NFT owner address (bech32): 
genesis1amtjk40sm49hwp78pevcq50e4dw3avfvf9xszj
Current NFT ID #233369 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
233369
Accession (UniProt):
Q9CNN3
Name::
Methylglyoxal synthase
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 Q9CNN3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CNN3|MGSA_PASMU Methylglyoxal synthase OS=Pasteurella multocida (strain Pm70) OX=272843 GN=mgsA PE=3 SV=1 MQSTARTLSVNKHIALVAHDHCKQDLINWCKTHRTLLAQHTLYATGTTGNLIQKEANLPIKSLLSGPMGGDQQLGGLIAEKQIDVLIFFWDPMNAVPHDPDVKALMRIATVWNIPVAMNMATADFLITSPSFAQETQVRIPDYDGYLKERLK