P69785 AF NFT

PTS system glucose-specific EIIA component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifobgrmowg4liyh2lftekiybe7x7xjrqbaiaenzusn5cfevk3po4m/metadata.json
IPFS of structure file: 
bafybeieuwmy3xdvhy774xu5a7v53nqrsqqjqwttvtqlswmsihjstnvpc34/AF-P69785-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7CCa6933a005c5dB8879819063AB1b04e6cb2856
First NFT owner address (bech32): 
genesis10n9xjvaqqhzahzresxgx82cmqnnvk2zk0s58pz
Current NFT ID #318498 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318498
Accession (UniProt):
P69785
Name::
PTS system glucose-specific EIIA component
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA FLEXNERI

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 P69785 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P69785|PTGA_SHIFL PTS system glucose-specific EIIA component OS=Shigella flexneri OX=623 GN=crr PE=3 SV=2 MGLFDKLKSLVSDDKKDTGTIEIIAPLSGEIVNIEDVPDVVFAEKIVGDGIAIKPTGNKMVAPVDGTIGKIFETNHAFSIESDSGVELFVHFGIDTVELKGEGFKRIAEEGQRVKVGDTVIEFDLPLLEEKAKSTLTPVVISNMDEIKELIKLSGSVTVGETPVIRIKK