A6UCS2 AF NFT

Phosphoglucosamine mutase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid3i3uuozgo3bkkaupyqxljlgvgm2lhrtkmfs26xg4zqzmow5kffy/metadata.json
IPFS of structure file: 
bafybeigdmq6c7jfdlzlko6aafjqhhb5dwrojs7o5mfzul5u53ozccczx34/AF-A6UCS2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x33393E055bf57C8E6883A003B0e6fdFD163d52B8
First NFT owner address (bech32): 
genesis1xvunup2m747gu6yr5qpmpehal5tr654cj6g778
Current NFT ID #149867 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
149867
Accession (UniProt):
A6UCS2
Name::
Phosphoglucosamine mutase
Experimental Method:
Predicted structure
Sequence source:
Sinorhizobium medicae (strain WSM419)

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 A6UCS2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6UCS2|GLMM_SINMW Phosphoglucosamine mutase OS=Sinorhizobium medicae (strain WSM419) OX=366394 GN=glmM PE=3 SV=1 MKRKYFGTDGIRGQSNIFPMTPDLAMRVGIAVGTIFRNGAHRHRVVIGKDTRLSGYMLENAMVAGFTAAGLDVFLLGPIPTPGVAMLTRSLRADIGVMISASHNAFRDNGIKLFGPDGYKLSDDIEEKIEELLDQDMTRQLAKPEDIGRAKRVDGDIYRYIEQAKRTLPRDVTLTGLRIAIDCANGAAYKVAPSALWELGAEVVPIGTEPNGVNINLECGSTHPAALQKKVHEVRADIGIALDGDADRVLIIDEEGQVIDGDQLMAVIADSWAADGMLKGGGIAATVMSNLGLERYLQARRLKLHRTKVGDRYVVEQMRQDGLNVGGEQSGHIVLSDFGTTGDGLVAALQILAVVKRQGKTVSEICRRFEPVPQVLKNVRISAGKPLEDAGVKQAIADAEAQLAKNGRLLIRPSGTEPLIRVMAEGDDRGKVERIVDELVSVIGAVRNAAA