Q9WW32 AF NFT

HTH-type transcriptional regulator MtrA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigei5zqm2dbuyz7sryun3o54dfxrno7kop4igvfyooidp6lp5z6fi/metadata.json
IPFS of structure file: 
bafybeicxvoqajzpwm32vhxxto5rd4qbfqe64symgugzq6zokbneernbt6u/AF-Q9WW32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x769063e6fD12eaBbc955d6025BD35BF88Ab86D4D
First NFT owner address (bech32): 
genesis1w6gx8ehazt4thj246cp9h56mlz9tsm2dmu5grh
Current NFT ID #248895 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
248895
Accession (UniProt):
Q9WW32
Name::
HTH-type transcriptional regulator MtrA
Experimental Method:
Predicted structure
Sequence source:
NEISSERIA GONORRHOEAE

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 Q9WW32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9WW32|MTRA_NEIGO HTH-type transcriptional regulator MtrA OS=Neisseria gonorrhoeae OX=485 GN=mtrA PE=1 SV=1 MDILDKLVDLAQLTGSADVQCLLGGQWSVRHETLQCEGLVHIVTAGSGYLCIDGETSPRPVGTGDIVFFPRGLGHVLSHDGKYGESLQPDIRQNGTFMVKQCGNGLDMSLFCARFRYDTHADLMNGLPETVFLNIAHPSLQYVVSMLQLESEKPLTGTVSVVNALPSVLLVLILRAYLEQDKDVELSGVLKGWQDKRLGHLIQKVIDKPEDEWNIDKMVAAANMSRAQLMRRFKSQVGLSPHAFVNHIRLQKGALLLKKTPDSVLEVALSVGFQSETHFGKAFKRQYHVSPGQYRKEGGQK