P9WMI2 AF NFT

Uncharacterized HTH-type transcriptional regulator MT0026

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzeg2e6gqgro32zpvheakzz5pga4rywi4vfbgqxrrvfsh3gvx32e/metadata.json
IPFS of structure file: 
bafybeic3oief7hfk6jrqjpzi7enruzwuog4sn6baql6k2q2ahlw3cfyn6i/AF-P9WMI2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x08eBD9dAF5f7D0e61018f2c1eBbbB473Df70042f
First NFT owner address (bech32): 
genesis1pr4ankh47lgwvyqc7tq7hwa5w00hqpp0x6dtwx
Current NFT ID #502794 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
502794
Accession (UniProt):
P9WMI2
Name::
Uncharacterized HTH-type transcriptional regulator MT0026
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WMI2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WMI2|Y023_MYCTO Uncharacterized HTH-type transcriptional regulator MT0026 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT0026 PE=4 SV=1 MSRESAGAAIRALRESRDWSLADLAAATGVSTMGLSYLERGARKPHKSTVQKVENGLGLPPGTYSRLLVAADPDAELARLIAAQPSNPTAVRRAGAVVVDRHSDTDVLEGYAEAQLDAIKSVIDRLPATTSNEYETYILSVIAQCVKAEMLAASSWRVAVNAGADSTGRLMEHLRALEATRGALLERMPTSLSARFDRACAQSSLPEAVVAALIGVGADEMWDIRNRGVIPAGALPRVRAFVDAIEASHDADEGQQ