Q89WG0 AF NFT | MOLNFT bioinformatics, blockchain

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeier2ytiygfgc7mwz3g22tml7bewbvahxa3vxbobonj5twulbeyzea/metadata.json

IPFS of structure file:

bafybeic7mtoheo3g3vqeqiuhrlby4j34n6m3loehpbs4sksiz5ig7rbhhy/AF-Q89WG0-F1-model_v2.pdb

First NFT owner address (eip-55):

0xD0Df07413FbF205CF8f5e551F4Bc6E7250CE2998

First NFT owner address (bech32):

genesis16r0swsflhus9e784u4glf0rwwfgvu2vct8jqah

Current NFT ID #487971 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
487971
Accession (UniProt):
Q89WG0
Name::
sn-glycerol-3-phosphate import ATP-binding protein UgpC
Experimental Method:
Predicted structure
Sequence source:
BRADYRHIZOBIUM DIAZOEFFICIENS (STRAIN JCM 10833 / BCRC 13528 / IAM 13628 / NBRC 14792 / USDA 110)

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 Q89WG0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q89WG0|UGPC_BRADU sn-glycerol-3-phosphate import ATP-binding protein UgpC OS=Bradyrhizobium diazoefficiens (strain JCM 10833 / BCRC 13528 / IAM 13628 / NBRC 14792 / USDA 110) OX=224911 GN=ugpC PE=3 SV=1 MANVTLRNVRKTYTGGFEAIKGVNVDVADGQFCVLVGPSGCGKSTLLRMVAGLETVTGGEIDIGGRVVNQIEPADRDIAMVFQNYALYPHMSVYNNMAYGLRNRGMAEAEIKTRVEEAARVLELTSMLERKPRQLSGGQRQRVAMGRAIVRQPKVFLFDEPLSNLDAKLRIAMRVEIRKLQRRLNTTSIYVTHDQLEAMTLADVLVVMNGGQVEQVGNPLAIYEKPATTFVASFIGAPPMNLMSTRSDEIKSQLGGSAAEAGVLGIRPEDFVITDQTPAGGVALPLTVEAIERVGAETFVYGSREQEDQRVAATPGELPPGEVIVRIPGTEAPTIGARIRVAAIRPKLHLFSGDGRTRLEA