P0A284 AF NFT

PTS system glucose-specific EIIA component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiexlf2d5e752awykt4qv7ztrjbi5obdkb4hlwk7xkfkavgyf5or6i/metadata.json
IPFS of structure file: 
bafybeiaqlxft6eo7snypm2q6tuf7zxwmd43dge2ybkr5tuf23s67crtjem/AF-P0A284-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB7D76aFbf646F3817685251F0eD0d497ac26bD02
First NFT owner address (bech32): 
genesis1kltk47lkgmecza59y50sa5x5j7kzd0gzcjvll7
Current NFT ID #318496 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
318496
Accession (UniProt):
P0A284
Name::
PTS system glucose-specific EIIA component
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHI

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 P0A284 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A284|PTGA_SALTI PTS system glucose-specific EIIA component OS=Salmonella typhi OX=90370 GN=crr PE=1 SV=2 MGLFDKLKSLVSDDKKDTGTIEIVAPLSGEIVNIEDVPDVVFAEKIVGDGIAIKPTGNKMVAPVDGTIGKIFETNHAFSIESDSGIELFVHFGIDTVELKGEGFKRIAEEGQRVKVGDPVIEFDLPLLEEKAKSTLTPVVISNMDEIKELIKLSGSVTVGETPVIRIKK