P0C0G9 AF NFT

Putative sugar uptake protein SPy_2205/M5005_Spy1856

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicyhlfd3z633yh4yzjq2wdgpfbltudxea44gt4h3rxznicemsdjga/metadata.json
IPFS of structure file: 
bafybeichp4a7s7dkgemcfupqzsdwbttpvcrujonz6ak3szsknlqsrct54a/AF-P0C0G9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xadb39D07D2A55093085fD524c504c34Fc55E839E
First NFT owner address (bech32): 
genesis14kee6p7j54gfxzzl65jv2pxrflz4aqu7xntetc
Current NFT ID #511378 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
511378
Accession (UniProt):
P0C0G9
Name::
Putative sugar uptake protein SPy_2205/M5005_Spy1856
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS PYOGENES SEROTYPE M1

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 P0C0G9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C0G9|Y2205_STRP1 Putative sugar uptake protein SPy_2205/M5005_Spy1856 OS=Streptococcus pyogenes serotype M1 OX=301447 GN=SPy_2205 PE=3 SV=1 MEGIFYALIPMFTWGSIGFVSNKIGGKPSQQTLGMTFGALLFSLAVWLIVRPEMTLQLWLFGILGGFIWSIGQTGQFHAMQYMGVSVANPLSSGSQLVLGSLIGVLVFHEWTRPMQFVVGSLALLLLIVGFYFSSKQDDANAQVNHLHNFSKGFRALTYSTIGYVMYAVLFNNIMKFEVLSVILPMAVGMVLGAITFMSFKISIDQYVIKNSVVGLLWGIGNIFMLLAASKAGLAIAFSFSQLGAIISIVGGILFLGETKTKKEMRWVVTGIICFIVGAILLGVVKS