Q9KV22 AF NFT

2,3-bisphosphoglycerate-independent phosphoglycerate mutase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihtqp5lgsliagwwe2lg34xp5bnfobgavdz3xiyw6inazgb7vyvdti/metadata.json
IPFS of structure file: 
bafybeifhkab5nqydff3co62mbjmvlerfhlyz7bg3zeogels4tis2kg53ta/AF-Q9KV22-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x93bc14F5480294582746A78146D4954f61e03248
First NFT owner address (bech32): 
genesis1jw7pfa2gq229sf6x57q5d4y4fas7qvjg6trn8m
Current NFT ID #157052 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
157052
Accession (UniProt):
Q9KV22
Name::
2,3-bisphosphoglycerate-independent phosphoglycerate mutase
Experimental Method:
Predicted structure
Sequence source:
VIBRIO CHOLERAE SEROTYPE O1 (STRAIN ATCC 39315 / EL TOR INABA N16961)

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 Q9KV22 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KV22|GPMI_VIBCH 2,3-bisphosphoglycerate-independent phosphoglycerate mutase OS=Vibrio cholerae serotype O1 (strain ATCC 39315 / El Tor Inaba N16961) OX=243277 GN=gpmI PE=3 SV=1 MSAKKPMALVILDGWGYREDNANNAINNARTPVMDSLMANNPHTLISASGMDVGLPDGQMGNSEVGHTNIGAGRIVYQDLTRITKAIMDGEFQHNKVLVAAIDKAVAAGKAVHLMGLMSPGGVHSHEDHIYAAVEMAAARGAEKIYLHCFLDGRDTPPRSAEASLKRFQDLFAKLGKGRIASIVGRYYAMDRDNNWDRVEKAYDLLTLAQGEFTYDSAVEALQAAYAREENDEFVKATEIRAAGQESAAMQDGDALLFMNYRADRARQITRTFVPDFAGFSRKAFPALDFVMLTQYAADIPLQCAFGPASLENTYGEWLSKAGKTQLRISETEKYAHVTFFFNGGVENEFPGEERQLVASPKVATYDLQPEMSSKELTDKLVAAIKSGKYDAIICNYPNGDMVGHTGVYEAAVKACEAVDECIGRVVEAIKEVDGQLLITADHGNAEMMIDPETGGVHTAHTSLPVPLIYVGNKAISLKEGGKLSDLAPTMLALSDLDIPADMSGQVLYS