Q7VYN2 AF NFT

sn-glycerol-3-phosphate import ATP-binding protein UgpC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiemgg77ggvygwgn3qqe6q6zodmsrwzxt35llmgw3dgzokl5u7ub4m/metadata.json
IPFS of structure file: 
bafybeifg67pa4bldfb2wu3fmi4gv2p6o3esirhh3ilhsmpnll5xwn4petu/AF-Q7VYN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #487970 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
487970
Accession (UniProt):
Q7VYN2
Name::
sn-glycerol-3-phosphate import ATP-binding protein UgpC
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PERTUSSIS (STRAIN TOHAMA I / ATCC BAA-589 / NCTC 13251)

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 Q7VYN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VYN2|UGPC_BORPE sn-glycerol-3-phosphate import ATP-binding protein UgpC OS=Bordetella pertussis (strain Tohama I / ATCC BAA-589 / NCTC 13251) OX=257313 GN=ugpC PE=3 SV=1 MATLSFRNVKKTYAGNVPVIHGIDMDVADGEFIVIVGPSGCGKSTLMRMVAGLETVTEGEILIDDKVVNTLEPAERDIAMVFQNYALYPHMSVFDNMAYGLKIRRLPKDEIRKRVEAAAQILELGKLLDRRPRALSGGQRQRVAMGRAIVREPKVFLFDEPLSNLDAKLRVAMRLEILKLHRRLNTTSLYVTHDQVEAMTLAHRMVVMYQGVPEQIGTPMEVFEKPASTFVAGFIGSPPMNLLEVAVGGDGIVHTSDGIALDISPLAVPQQVRGRKVVMGLRPEHMLLNAQGLAAEIEMVETLGSEQLVHGRCGKHMVVVRCSTRQFSETPARVGDTLTIGPDGRHPLHWFEADTGRRVEGL