Q5P787 UDP-N-acetylglucosamine 1-carboxyvinyltransferase MolNFT, Molecular NFT on GenesisL1

UDP-N-acetylglucosamine 1-carboxyvinyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifgbwohtqtsk4xjlrdbfk6g7brr6m2pwm6ttxhrmazdouhfhxqqti/metadata.json

IPFS of structure file:

bafybeigkp4t6ls2elu7e3e66qsefafr77jncqzdmmxehu3v2pxajgr3iqe/AF-Q5P787-F1-model_v2.pdb

First NFT owner address (eip-55):

0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c

First NFT owner address (bech32):

genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx

Current NFT ID #249790 owner (web3):

0x56071EB6171562445b8c56A46E20FbFb873E3C4d

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
249790
Accession (UniProt):
Q5P787
Name::
UDP-N-acetylglucosamine 1-carboxyvinyltransferase
Experimental Method:
Predicted structure
Sequence source:
AROMATOLEUM AROMATICUM (STRAIN EBN1)

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 Q5P787 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5P787|MURA_AROAE UDP-N-acetylglucosamine 1-carboxyvinyltransferase OS=Aromatoleum aromaticum (strain EbN1) OX=76114 GN=murA PE=3 SV=1 MDKLLIEGGVRLAGEAAISGAKNAALPILCAALLTREPVTLTNVPQLNDIDTLLNLLGQMGVKVSRDNAAVTLDASAIDNPVAPYEMVKTMRASILVLGPLVARCGEARVSLPGGCAIGARPVDQHIKGLQAMGAQVTVEHGYVHAVVSRLAGARLFTDMVTVTGTENLMMAACLADGETVIENAAREPEVVDLANCLVAMGARISGAGTDVIRIRGVDRLNGATHRIMPDRIETGTYLCAAAATGGEIRLTRTSTAYLDAVVDKLMDAGCDVVTERDAIRLKAPARLTSVNIRTSPYPAFPTDMQAQFMAINAVASGAAMIRETIFENRFMHAVELQRLGADIRIDGNTAVVQGVERLQGATVMATDLRASASLVIAGLVAEGETVIERIYHLDRGYERLEEKLAALGAHVRRIA

Q5P787 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q5P787 research and analysis (ICN3D with VR)

FASTA sequences

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