Q44767 Flagellar hook protein FlgE MolNFT, Molecular NFT on GenesisL1

Flagellar hook protein FlgE

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiatdqpx7j6qluwldazpm5am6pxcrmkfcyvi4ck5yoow4cjvwf3leq/metadata.json

IPFS of structure file:

bafybeiddbgsprzd7zmzraaewzjnvdh3fw7pfcp374asvyro4tq6twvc2nu/AF-Q44767-F1-model_v2.pdb

First NFT owner address (eip-55):

0x878270033Ee620a8cF73fb621f575785954ef24B

First NFT owner address (bech32):

genesis1s7p8qqe7ucs23nmnld3p746hsk25aujtr3caqr

Current NFT ID #131432 owner (web3):

0xdd2B5c5c9c628759C36F2a51Baa6a4669F366E6d

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
131432
Accession (UniProt):
Q44767
Name::
Flagellar hook protein FlgE
Experimental Method:
Predicted structure
Sequence source:
Borreliella burgdorferi (strain ATCC 35210 / DSM 4680 / CIP 102532 / B31)

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 Q44767 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q44767|FLGE_BORBU Flagellar hook protein FlgE OS=Borreliella burgdorferi (strain ATCC 35210 / DSM 4680 / CIP 102532 / B31) OX=224326 GN=flgE PE=3 SV=1 MMRSLYSGVSGLQNHQTRMDVVGNNIANVNTIGFKKGRVNFQDMISQSISGASRPTDARGGTNPKQVGLGMNVASIDTIHTQGAFQSTQKASDLGVSGNGFFILKEGKNLFYTRAGAFDVDSDRHLVNPANGMRIQGWMARDLEGEKVINTASDIEDLIIPIGDKEGAKSTKNVTFACNLDKRLPLIQEGANPADIARGTWVVNKSLYDSFGNVSVLELRVVKDLNTPNLWNATVLINGEQNSNFTLGFDNEGALASLNGQPGQKGDILQIPITFNVLGANVGEVGEQQTVNLKLGTVGSYTDSITQFADSSSTKAIIQDGYGMGYMENYEIDQNGVIVGIYSNGIRRDLGKIALASFMNPGGLAKSGDTNFVETSNSGQVRIGETGLAGLGDIRSGVLEMANVDLAEQFTDMIVTQRGFQANAKTITTSDQLLQELVRLKN

Q44767 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q44767 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience