Q9KRT4 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiej76jziukgogbtjp4sjomrvadvmmzdhz7czdxt4phhoc6icg7bam/metadata.json
IPFS of structure file: 
bafybeibnlnto3afdlpg6flfypunjm4kerqwfxgetvbns5kmah5ip7lbqgi/AF-Q9KRT4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x66cc7a0eB7D43468C5dDa46c4E407dc0C1A1C67C
First NFT owner address (bech32): 
genesis1vmx85r4h6s6x33wa53kyusracrq6r3nutt9mfx
Current NFT ID #488019 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
488019
Accession (UniProt):
Q9KRT4
Name::
sn-glycerol-3-phosphate import ATP-binding protein UgpC
Experimental Method:
Predicted structure
Sequence source:
VIBRIO CHOLERAE SEROTYPE O1 (STRAIN ATCC 39315 / EL TOR INABA N16961)

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 Q9KRT4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KRT4|UGPC_VIBCH sn-glycerol-3-phosphate import ATP-binding protein UgpC OS=Vibrio cholerae serotype O1 (strain ATCC 39315 / El Tor Inaba N16961) OX=243277 GN=ugpC PE=3 SV=2 MLDIKQLVKTYDNGHQAVKGVDLSIHQGEFIVLVGPSGCGKSSILRSIAGLESITSGEIHLAGRRVDNEKPANRDIAMVFQNYALYPHMSVYDNLAYGLKNRGVDKQTIAAKIAKVAKTLKIEEYLDRKPAKLSGGQRQRVAMGRAIVRDPQLFLFDEPLSNLDAALRAHMRLEIKKLQRELGVTSVYVTHDQVEAMTLADRIVVVKQGEIEQVGTPAEVYHQPASTFVASFIGSPAMNFLPASIKQGQLHIAGKHCYLPQFDAMSSENITLGIRPEHASLHPLTNAIELKLDIQVVEPLGPNQLVHGKIIGLESEQDFIAVTAEIPLDVHQTLPIWVALEQLHLFDQQGKRFVQSHRSCTQSSKVASTRQQ