Q89ZV6 AF NFT

GMP synthase [glutamine-hydrolyzing] 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib6ufjcfhi7lzhmcbn2ryampl6zrvhuvxxbl24qsbtxaav6chdiju/metadata.json
IPFS of structure file: 
bafybeia5wxa4b7asakvhhimfvamfnfzse5afcse74le265figyo3ll6bsq/AF-Q89ZV6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #161153 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
161153
Accession (UniProt):
Q89ZV6
Name::
GMP synthase [glutamine-hydrolyzing] 1
Experimental Method:
Predicted structure
Sequence source:
Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / JCM 5827 / CCUG 10774 / NCTC 10582 / VPI-5482 / E50)

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 Q89ZV6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q89ZV6|GUAA1_BACTN GMP synthase [glutamine-hydrolyzing] 1 OS=Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / JCM 5827 / CCUG 10774 / NCTC 10582 / VPI-5482 / E50) OX=226186 GN=guaA1 PE=3 SV=1 MQEKIIILDFGSQTTQLIGRRVRELDTYCEIVPYNKFPKEDPTIKGVILSGSPFSVYDKDAFKVDLSEIRGKYPILGICYGAQFMAYTNNGKVEPAGTREYGRAHLTSFCKDNVLFKGVRENTQVWMSHGDTITAIPDNFKKIASTDKVDIAAYQVEGEKVWGVQFHPEVFHSEDGTQILRNFVVDVCGCKQDWSPASFIESTVAELKAQLGDDKVVLGLSGGVDSSVAAVLLNRAIGKNLTCIFVDHGMLRKNEFKNVMNDYECLGLNVIGVDASEKFFAELAGVTEPERKRKIIGKGFIDVFDVEAHKIKDVKWLAQGTIYPDCIESLSITGTVIKSHHNVGGLPEKMHLKLCEPLRLLFKDEVRRVGRELGMPEHLITRHPFPGPGLAVRILGDITREKVRILQDADDIYIQGLRDWGLYDQVWQAGVILLPVQSVGVMGDERTYERAVALRAVTSTDAMTADWAHLPYEFLGKISNDIINKVKGVNRVTYDISSKPPATIEWE