Q1C097 Bifunctional protein GlmU MolNFT, Molecular NFT on GenesisL1

Bifunctional protein GlmU

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeig7ow3vlcig4iktmgyarvwz6howg7j76wwkuoynvwnyi2fnpkmhaq/metadata.json

IPFS of structure file:

bafybeibjhkj3q3osy4fkis6fezmlofpqrw4bpium6tjdobglohar3z3s5u/AF-Q1C097-F1-model_v2.pdb

First NFT owner address (eip-55):

0x8EFA7f4a75DF32D98Cf4d88EFEdA11ea5e52c27D

First NFT owner address (bech32):

genesis13ma87jn4muednr85mz80aks3af099snawqwve5

Current NFT ID #150763 owner (web3):

0xD655697f9Ba1bf9970411e7edCda93c66d411B1a

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
150763
Accession (UniProt):
Q1C097
Name::
Bifunctional protein GlmU
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C097 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C097|GLMU_YERPA Bifunctional protein GlmU OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=glmU PE=3 SV=1 MSNSSMSVVILAAGKGTRMYSDLPKVLHPLAGKPMVQHVIDAAMKLGAQHVHLVYGHGGELLKKTLADPSLNWVLQAEQLGTGHAMQQAAPHFADDEDILMLYGDVPLISVDTLQRLLAAKPEGGIGLLTVKLDNPSGYGRIVRENGDVVGIVEHKDASDAQREINEINTGILVANGRDLKRWLSLLDNNNAQGEFYITDIIALAHADGKKIATVHPTRLSEVEGVNNRLQLSALERVFQTEQAEKLLLAGVMLLDPSRFDLRGELTHGRDITIDTNVIIEGHVILGDRVRIGTGCVLKNCVIGDDSEISPYTVLEDARLDANCTVGPFARLRPGAELAEGAHVGNFVEIKKARLGKGSKAGHLSYLGDAEIGAGVNIGAGTITCNYDGANKFKTIIGDDVFVGSDTQLVAPVTVANGATIGAGTTVTRDVAENELVISRVKQVHIQGWKRPVKKK

Q1C097 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q1C097 research and analysis (ICN3D with VR)

FASTA sequences

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