» Articles » PMID: 35625318

An Evolutionary Conservation and Druggability Analysis of Enzymes Belonging to the Bacterial Shikimate Pathway

Overview
Specialty Pharmacology
Date 2022 May 28
PMID 35625318
Authors
Affiliations
Soon will be listed here.
Abstract

Enzymes belonging to the shikimate pathway have long been considered promising targets for antibacterial drugs because they have no counterpart in mammals and are essential for bacterial growth and virulence. However, despite decades of research, there are currently no clinically relevant antibacterial drugs targeting any of these enzymes, and there are legitimate concerns about whether they are sufficiently druggable, i.e., whether they can be adequately modulated by small and potent drug-like molecules. In the present work, in silico analyses combining evolutionary conservation and druggability are performed to determine whether these enzymes are candidates for broad-spectrum antibacterial therapy. The results presented here indicate that the substrate-binding sites of most enzymes in this pathway are suitable drug targets because of their reasonable conservation and druggability scores. An exception was the substrate-binding site of 3-deoxy--arabino-heptulosonate-7-phosphate synthase, which was found to be undruggable because of its high content of charged residues and extremely high overall polarity. Although the presented study was designed from the perspective of broad-spectrum antibacterial drug development, this workflow can be readily applied to any antimicrobial target analysis, whether narrow- or broad-spectrum. Moreover, this research also contributes to a deeper understanding of these enzymes and provides valuable insights into their properties.

Citing Articles

Decoding allosteric landscapes: computational methodologies for enzyme modulation and drug discovery.

Zhu R, Wu C, Zha J, Lu S, Zhang J RSC Chem Biol. 2025; .

PMID: 39981029 PMC: 11836628. DOI: 10.1039/d4cb00282b.


Identification of novel drug targets for : structure-based virtual screening of potential inhibitors against DAH7PS protein involved in the shikimate pathway.

Noori Goodarzi N, Khazani Asforooshani M, Shahbazi B, Rezaie Rahimi N, Badmasti F Front Bioinform. 2024; 4:1482338.

PMID: 39493576 PMC: 11527725. DOI: 10.3389/fbinf.2024.1482338.


Genome-wide CRISPRi screens for high-throughput fitness quantification and identification of determinants for dalbavancin susceptibility in .

Liu X, de Bakker V, Heggenhougen M, Marli M, Froynes A, Salehian Z mSystems. 2024; 9(7):e0128923.

PMID: 38837392 PMC: 11265419. DOI: 10.1128/msystems.01289-23.


Shedding light on bacteria-host interactions with the aid of TnSeq approaches.

Torres M, Paszti S, Eberl L mBio. 2024; 15(6):e0039024.

PMID: 38722161 PMC: 11237515. DOI: 10.1128/mbio.00390-24.


Computational screening of damaging nsSNPs in human SOD1 genes associated with amyotrophic lateral sclerosis identifies destabilising effects of G38R and G42D mutations through in silico evaluation.

Bhor S, Tonny S, Dinesh S, Sharma S In Silico Pharmacol. 2024; 12(1):20.

PMID: 38559706 PMC: 10973320. DOI: 10.1007/s40203-024-00191-7.


References
1.
Kukol A, Hughes D . Large-scale analysis of influenza A virus nucleoprotein sequence conservation reveals potential drug-target sites. Virology. 2014; 454-455:40-7. DOI: 10.1016/j.virol.2014.01.023. View

2.
Iqbal N, Kumar M, Sharma P, Yadav S, Kaur P, Sharma S . Binding studies and structure determination of the recombinantly produced type-II 3-dehydroquinate dehydratase from Acinetobacter baumannii. Int J Biol Macromol. 2016; 94(Pt A):459-465. DOI: 10.1016/j.ijbiomac.2016.10.049. View

3.
Arcuri H, Borges J, Fonseca I, Pereira J, Ruggiero Neto J, Basso L . Structural studies of shikimate 5-dehydrogenase from Mycobacterium tuberculosis. Proteins. 2008; 72(2):720-30. DOI: 10.1002/prot.21953. View

4.
Dias M, Ely F, Palma M, de Azevedo Jr W, Basso L, Santos D . Chorismate synthase: an attractive target for drug development against orphan diseases. Curr Drug Targets. 2007; 8(3):437-44. DOI: 10.2174/138945007780058924. View

5.
Henikoff S, Henikoff J . Amino acid substitution matrices from protein blocks. Proc Natl Acad Sci U S A. 1992; 89(22):10915-9. PMC: 50453. DOI: 10.1073/pnas.89.22.10915. View