Q7UFG7 AF NFT

2,3-bisphosphoglycerate-independent phosphoglycerate mutase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibw262nyc2wfu4blpsrecm6xh6kbx26uwjecm3f6itffdteiy3hbm/metadata.json
IPFS of structure file: 
bafybeidubqzbxs43e3wtyuxmxatm45x3zqo5mgbxi2yrysw4bq5ry5sy3q/AF-Q7UFG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x06Ceb5C01b2979cC4E4047AEa00bE3fE866C749E
First NFT owner address (bech32): 
genesis1qm8ttsqm99uucnjqg7h2qzlrl6rxcay7004ac8
Current NFT ID #156984 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
156984
Accession (UniProt):
Q7UFG7
Name::
2,3-bisphosphoglycerate-independent phosphoglycerate mutase
Experimental Method:
Predicted structure
Sequence source:
RHODOPIRELLULA BALTICA (STRAIN DSM 10527 / NCIMB 13988 / SH1)

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 Q7UFG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7UFG7|GPMI_RHOBA 2,3-bisphosphoglycerate-independent phosphoglycerate mutase OS=Rhodopirellula baltica (strain DSM 10527 / NCIMB 13988 / SH1) OX=243090 GN=gpmI PE=3 SV=1 MVLTFMTATRRRPVVLIVRDGWGQNPDPKWNESNAVHLANTPVDDKLTQEYPSVLIHTSGEDVGLPAGVMGNSEVGHQNIGAGRIVDQEVMRITRAIRDDSFFSNPVVTGAIDHVKKSGGRLHLLGLMSDGRVHSDLQHGIAVIDLAKRNGLTGDQLAIHAITDGRDTSPRGGLKFVSQLTDHCEASGVGVVASVIGRFYAMDRDLRWERVEAAYNLMTQGTGQTFPSASAAIESYYANPTESSRDGDEFITASSIVPEGGSPITVQPGDAVLFMNYRGDRTREITKAFTFDDAAWKDIPGGGFDRGKKIDNLYFATMTGYETGLPVKVIFEKPAKMPNILGEYVASKGLHQFRCAETEKYPHVTFFFNDYRDNPFEEEEWGMAPSPRDVSTYDQKPEMSAEDITEKVLKQIKSGKCDMIIVNYANGDMVGHTGVLEAAIKAVEKVDACVGRVVDATLAAGGSLVVTADHGNCEQMIDPETGGPHTAHTTYQVPLIVVDPEFVGKPLREGGRLADIAPTVLALMGLEVPPEMTGRPLMETQTA