Q93R28 AF NFT

Protein GrpE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigwz67xkemjj35cta5vktee4cquthbwaq46l7gyistvhvzqmzbpre/metadata.json
IPFS of structure file: 
bafybeiby3fuhimjw2zg3xoapnccubixzzwhwecblhghgg7czb4o6wnvoke/AF-Q93R28-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcD609cF0CC50806EC1C19a3758EC341c1825f7d4
First NFT owner address (bech32): 
genesis1e4sfeuxv2zqxaswpngm43mp5rsvzta75qlsvw2
Current NFT ID #159106 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
159106
Accession (UniProt):
Q93R28
Name::
Protein GrpE
Experimental Method:
Predicted structure
Sequence source:
Tetragenococcus halophilus

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 Q93R28 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q93R28|GRPE_TETHA Protein GrpE OS=Tetragenococcus halophilus OX=51669 GN=grpE PE=3 SV=1 MSDKKKNAEEFEETFSDKTSEDESTVENETVEENENEDVQAISEVDDLKAQLDEMEDKYLRASAELSNMNNRFRNERQTLQRYRSQDLGKKLLPAIDNLERAVAIEVEGEQNESLKKGVEMTLESLRSAMQEEGIEEISAQGETFDPTLHQAVQTVPATEDHPAETVVEVLQKGYKIYDRVLRASMVVVAQ