Q9RSQ3 AF NFT

Phosphoglucosamine mutase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifb2k3kfmo3sqsmfgr3hi2hgizol3x4tmq7fnvjv3mj7z35b6o5ae/metadata.json
IPFS of structure file: 
bafybeieenqi7ocmosfa53wbcouaaz3e6dnxwywi3maaq6cabhylrnujjoq/AF-Q9RSQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE0133A5C26Bb1461729180C18CbEfF3c1cAf1d1A
First NFT owner address (bech32): 
genesis1uqfn5hpxhv2xzu53srqce0hl8sw278g6z2vuk6
Current NFT ID #149534 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
149534
Accession (UniProt):
Q9RSQ3
Name::
Phosphoglucosamine mutase
Experimental Method:
Predicted structure
Sequence source:
DEINOCOCCUS RADIODURANS (STRAIN ATCC 13939 / DSM 20539 / JCM 16871 / LMG 4051 / NBRC 15346 / NCIMB 9279 / R1 / VKM B-1422)

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 Q9RSQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RSQ3|GLMM_DEIRA Phosphoglucosamine mutase OS=Deinococcus radiodurans (strain ATCC 13939 / DSM 20539 / JCM 16871 / LMG 4051 / NBRC 15346 / NCIMB 9279 / R1 / VKM B-1422) OX=243230 GN=glmM PE=3 SV=1 MTERKYFGTDGVRAVAGEFPLTPAWVMALGAAAGEVFKRRNPRASVVIGKDTRQSGDMLEAALAAGLTSRGVNVVHLGVLPTPGVSYLTRHLGAEAGVVISASHNPYEDNGIKFFGPGGGKLSDATELEIEAAIDEAATLAPVTGVNLGSVTNYTEAERLYTAFLSSHAPDLSGMRIALDCANGAAYRVAPKVFQQAGADVFAVYTTPDGRNINRGCGSTHMDHLRLIVREGDYDLGIAFDGDADRALFVDSRGNMIHGDHMLLLSARARGEKAVVATIMTNMALEVKLQEAGLTLERTAVGDRYVHERLHAKGLNLGGEQSGHVLFLDVSPTGDGVLTALLTLSSMKKLGTTLDALYDELVMFPQTLVNVRVKDKKAIASDPAVQHAVADAEKQLAGKGRINLRPSGTENLIRVMVEGQDEGEIHDIAAAVAKVVEERGAAGA