Computational assessment of targeting angiotensin-converting enzyme for hypertension management: A structure-based virtual screening approach

Full Length Research Article 

Computational assessment of targeting angiotensin-converting enzyme for hypertension management: A structure-based virtual screening approach

Ahmad Salah Alkathiri

Adv. life sci., vol. 11, no. 4, pp. 827-832, November 2024
*Corresponding Author: Ahmad Salah Alkathiri (asskathiri@uqu.edu.sa)
Authors' Affiliations

 Department of Health Promotion and Education, Faculty of Public Health & Health Informatics, Umm Al-Qura University, Makkah – Kingdom of Saudi Arabia 
 
[Date Received: 23/12/2023; Date Revised: 03/08/2024; Date Published: 15/10/2024]


Abstractaa download_button
Introduction
Methods
Results

Discussion
References 


Abstract

Background: Hypertension is a growing public health concern globally. The angiotensin-converting enzyme (ACE) is an enzyme that cleaves the carboxy-terminal His-Leu dipeptide from angiotensin I, yielding the potent vasopressor octapeptide, angiotensin II. ACE inhibitors are a primary treatment option for hypertension, heart failure, and myocardial infarction. However, the use of synthetic ACE inhibitors has been linked to a number of side effects. Therefore, the development of novel and safe ACE inhibitors is a need of time.

Methods: This study used a computational screening of a library of known compounds with anti-inflammatory activities against the active site of ACE using the PyRx-Python 0.8 tool to find more potent ACE inhibitors with less or no side effects. The physicochemical properties of the anti-inflammatory compounds were obtained from the Life Chemicals website.

Result: The five hits, specifically F3398-2114, F0193-0245, F0163-0089, F0193-0237, and F0302-0060, exhibited notable interactions within the ACE binding pocket and demonstrated greater binding energy compared to the control compound, Lisinopril. All of these compounds displayed favorable physicochemical characteristics and aligned to Lipinski's rule.

Conclusion: The compounds F3398-2114, F0193-0245, F0163-0089, F0193-0237, and F0302-0060 have the potential to be used as ACE inhibitors; however, further experimental validation is required to optimize them as ACE inhibitors.

Keywords: Hypertension; Angiotensin-converting enzyme; Heart failure; Lipinski's rule 

Introduction6th button-01


Hypertension is a formidable threat to global public health and has widespread and increasing prevalence worldwide. The prevalence of diagnosed hypertension continues to rise, with projections predicting nearly 2 billion cases by 2025 [1]. Effective post-manifestation hypertension management remains a challenge, with only a small percentage of patients achieving optimal control. Hypertension’s negative consequences extend beyond its primary manifestation, increasing susceptibility to cardiovascular disorders, myocardial infarction, cerebrovascular accidents, renal impairment, intracerebral hemorrhage, end-stage organ dysfunction, and a variety of secondary pathologies [2]. These consequences not only pose a significant threat to patient mortality, but also have a substantial impact on their overall survival and life quality [3]. In addressing the negative effects of hypertension, the imperative pursuit of research and development endeavors aimed at pharmaceutical interventions takes precedence.

The renin-angiotensin system (RAS) and kallikrein-kinin system (KKS) intricately govern blood pressure (BP) regulation in vivo [4]. Renin catalyzes the conversion of angiotensinogen to the inactive Angiotensin I within the RAS, and the subsequent action of angiotensin-converting enzyme (ACE) generates Angiotensin II, which induces vascular smooth muscle activity, causing a rise in BP. Meanwhile, in the KKS, ACE acts to deactivate bradykinin, a key mediator in BP regulation via vasodilation and electrolyte regulation. Unfortunately, the use of synthetic ACE inhibitors such as captopril and enalapril are associated with some adverse effects such as coughing, allergic reactions, and elevated blood potassium levels [5]. Therefore, research into ACE inhibitors derived from natural sources is critical.

ACE inhibitors, also known as ACEIs, are frequently prescribed for the treatment of cardiovascular disorders and kidney disease. Angiotensin II, which is recognized for its strong narrowing of blood vessels and capacity to promote the release of aldosterone, is produced at an accelerated rate in the presence of ACE inhibitors. These inhibitors play a crucial role in renin-angiotensin system regulation, managing vascular tone, and offering therapeutic advantages for cardiovascular health and kidney function [6]. Although ACE inhibitors are commonly prescribed, their use is limited due to potential side effects such as kidney failure, high potassium levels in the blood, low blood pressure, and the development of a persistent wheezing sound after a single dose [7]. ACE inhibitors can benefit individuals with chronic renal failure by reducing systemic vascular resistance. It is important to mention that using this approach may lead to a reduction in filtration pressure, which can worsen negative effects on the kidneys, such as acute renal failure. These adverse effects underscore the significance of exercising caution and monitoring while administering ACE inhibitors, especially in individuals with renal impairment [8,9].

Computer-Aided Drug Design (CADD) tools have become indispensable in the field of drug discovery, influencing the development of new drugs significantly. These tools analyze and simulate the interactions between potential drug candidates and biological targets such as proteins or enzymes using computational methods [10]. The two most common methodologies in CADD are structure-based drug design and ligand-based drug design [11,12]. This study aimed to find potent ACE inhibitors by screening a library of anti-inflammatory compounds using the structure-based virtual screening (VS) approach.

Methods6th button-01


Protein preparation

The structural configuration of the human ACE-lisinopril complex (PDB ID: 1O8A) was obtained from the Protein Data Bank [13]. Lisinopril is a familiar ACE inhibitor used to treat conditions such as hypertension, heart failure, and myocardial infarction [14]. By removing water and heteroatoms (lisinopril, glycine, zinc, and chloride ion) from the crystal structure using Discovery Studio 2021, it was enabled to prepare it for VS.

Compound library preparation

A collection of more than 2,900 drug-like screening compounds with anti-inflammatory properties was obtained in sdf format from the Life Chemicals website (https://lifechemicals.com/screening-libraries/targeted-and-focused-screening-libraries/anti-inflammatory-library) and was prepared accessible for screening.

Virtual screening

VS is a computational method for identifying novel drug-like compounds by utilizing large and diverse collections of chemical compound libraries [15]. In this study, VS of prepared compounds against ACE protein was carried out using PyRx-Python 0.8 tool integrated with AutoDock 4.2. The energy of all compounds was minimized using a universal force field and were converted to the Autodock-compatible ".pdbqt" format. The coordinates used were X: 41.25, Y: 34.04, and Z: 46.56.

Physiochemical properties prediction

The physicochemical properties of the selected anti-inflammatory compounds were obtained from the Life Chemicals website, where each compound was extensively documented along with its corresponding characteristics.

Results6th button-01


Anti-inflammatory drugs, like NSAIDs and corticosteroids, can have a number of side effects, such as irritated stomachs, heart problems, kidney issues, and weakened immune systems [16]. The objective of this research was to identify more effective and potentially fewer harmful therapeutics for hypertension by using computational methods to assess a collection of 2,900 drug-like compounds with anti-inflammatory activities against the ACE active site.

The PDB 3D structure of ACE was obtained and thoroughly studied to understand its structural elements. The emphasis was on analyzing its domains (distinct functional sections) and secondary structures (such as alpha helices and beta sheets) to understand its detailed molecular organization. The data indicates that a specific chain of the ACE protein, consisting of 575 amino acids (protein building blocks), was chosen for this study (Figure 1).

In this study, the active pocket of the ACE protein was identified and chosen by utilizing the inbound ligand Lisinopril as a positive control. The presence and interaction of Lisinopril in this active pocket were used as a reference or standard for further analysis and comparison with other compounds or molecules being studied. Prior to VS, the compound library was filtered using Lipinski's rule, and 2869 compounds passed the assessment and were used in the screening. Since all the compounds screened in this study had previously demonstrated anti-inflammatory properties, most of them exhibited strong binding, with many showing even better binding than Lisinopril. Table 1 presents a list of the 20 most prominent hits along with their corresponding binding energy.

Subsequent in-depth analysis and evaluation of the physicochemical characteristics were performed for the five most promising hits. The compounds F3398-2114, F0193-0245, F0163-0089, F0193-0237, and F0302-0060 showed significant interactions within the ACE binding pocket. Figure 2 depicts the binding positions of these compounds concerning the control compound within the ACE binding pocket. It shows that these compounds interact with the majority of the active residues in the ACE binding pocket.

Table 2 presents the chemical names of the top five hits, along with their physicochemical properties including Molecular Weight, clogP, TPSA, Hydrogen Acceptors and Donors, Number of Rotatable Bonds, Heavy Atom Count (HAC), and ALogP.

Further 2D and 3D interaction analyses of the chosen hits (F3398-2114, F0193-0245, F0163-0089, F0193-0237, and F0302-0060) were performed using Discovery Studio Visualizer.

The results revealed that all of the tested compounds, including the control compound, bind to a common set of amino acid residues in the ACE active site (Figure 3, and Table 3).

The physicochemical, pharmacokinetic, and drug-likeness properties of the selected compounds were further predicted. This analysis aimed to provide deeper insights into the characteristics of the compounds and to identify potential lead compounds with high efficacy (Table 2).

 

Figures & Tables

 

Discussion6th button-01


Hypertension is defined as an increase in systemic arterial BP caused by environmental factors, polygenic heredity, and various risk factors. This condition has a significant impact on blood vessel architecture and functionality, frequently resulting in complications affecting the brain, kidneys, and heart. Furthermore, hypertension is a major risk factor for cardiovascular disorders such as coronary heart disease, left ventricular hypertrophy, and arrhythmia [17].

Hypertension management includes both lifestyle and pharmacological interventions. When combined with dietary and lifestyle changes, antihypertensive medications show significant efficacy in lowering BP and heart rate, reducing the risk of cardiovascular morbidity and mortality [18]. However, there are significant drawbacks to using these medications, such as adverse effects, increased costs, and limited accessibility in specific regions of developing countries [19]. Hence, there is a pressing need to investigate novel pharmaceutical agents, with a particular emphasis on those derived from natural sources, in order to advance the development of treatments that are not only more efficacious but also better tolerated by the patient population [20].

In this study, a collection of >2,900 drug-like compounds with anti-inflammatory properties were screened against the ACE protein. Prior to VS, the compound library was filtered using Lipinski's rule, which resulted in 2,869 compounds meeting the criteria for inclusion in the screening process. Given the anti-inflammatory properties of all compounds screened in this study, the majority exhibited strong binding affinity with the ACE protein. Based on their notable binding characteristics, five hits (F3398-2114, F0193-0245, F0163-0089, F0193-0237, and F0302-0060) were chosen for in-depth interaction analysis.

Hydrogen bonding is crucial in ligand-protein complex interactions [21, 22]. Interestingly, five of the identified hits (F3398-2114, F0193-0245, F0163-0089, F0193-0237, and F0302-0060) exhibited H-bonding with multiple ACE protein residues. F3398-2114 formed H-bonds with the ACE protein's His353, His387, and Glu411 residues, whereas F0193-0245 formed H-bonds with the Glu384, Ala354, and His383 residues. F0163-0089 H- bonded with Ala354 and Glu384 residues of the ACE protein, while F0193-0237 formed H-bonds with His383 and Ala354 residues. Furthermore, F0302-0060 exhibited H-bonding with the ACE protein's Tyr523, His383, and Ala354 residues.

In docking analysis, a high negative binding energy value indicates a strong and effective interaction between the ligand and the target protein [23-25]. Notably, the identified hits (F3398-2114, F0193-0245, F0163-0089, F0193-0237, and F0302-0060) had higher binding energy than the control compound, implying that these compounds have potent and efficient interactions with the ACE protein and may be promising lead candidates for ACE inhibitors in the management of hypertension.

Hypertension is a major threat to global public health, with a widespread and rising prevalence worldwide. ACE inhibitors are the primary treatment for hypertension and myocardial infarction. This study elucidates the molecular interactions between the known compounds (with anti-inflammatory activities) and the ACE protein. Notably, F3398-2114, F0193-0245, F0163-0089, F0193-0237, and F0302-0060 demonstrated strong binding affinity with the ACE protein and exhibited favorable physicochemical characteristics, implying that they could be tested further as anti-ACE agents for the effective management of hypertension.

Conflict of Interest


The author declare that there is no conflict of interest regarding the publication of this paper.

6th button-01References


  1. Mills KT, Stefanescu A, He J. The global epidemiology of hypertension. Nature Reviews Nephrology, (2020); 16(4): 223-237.
  2. Wajngarten M, Silva GS. Hypertension and Stroke: Update on Treatment. European Cardiology Review, (2019); 14(2): 111-115.
  3. Buonacera A, Stancanelli B, Malatino L. Stroke and Hypertension: An Appraisal from Pathophysiology to Clinical Practice. Current Vascular Pharmacology, (2019); 17(1): 72-84.
  4. Shen B, El-Dahr SS. Cross-talk of the renin-angiotensin and kallikrein-kinin systems. Biological Chemistry, (2006); 387(2): 145-150.
  5. Ahmad H, Khan H, Haque S, Ahmad S, Srivastava N, et al. Angiotensin-Converting Enzyme and Hypertension: A Systemic Analysis of Various ACE Inhibitors, Their Side Effects, and Bioactive Peptides as a Putative Therapy for Hypertension. Journal of the Renin-Angiotensin-Aldosterone System, (2023); 2023: 7890188.
  6. Zheng W, Tian E, Liu Z, Zhou C, Yang P, et al. Small molecule angiotensin converting enzyme inhibitors: A medicinal chemistry perspective. Frontiers in Pharmacology, (2022); 13: 968104.
  7. Alderman CP. Adverse effects of the angiotensin-converting enzyme inhibitors. Annals of Pharmacotherapy, (1996); 30(1): 55-61.
  8. Horl WH. [ACE inhibitors and the kidney]. Wien Med Wochenschr, (1996); 146(16): 450-453.
  9. McNeely W, Wiseman LR. Intranasal azelastine. A review of its efficacy in the management of allergic rhinitis. Drugs, (1998); 56(1): 91-114.
  10. Talevi A. Computer-Aided Drug Discovery and Design: Recent Advances and Future Prospects. Methods in Molecular Biology, (2024); 2714: 1-20.
  11. Yu W, MacKerell AD, Jr. Computer-Aided Drug Design Methods. Methods in Molecular Biology, (2017); 1520: 85-106.
  12. Sliwoski G, Kothiwale S, Meiler J, Lowe EW, Jr. Computational methods in drug discovery. Pharmacological Reviews, (2014); 66(1): 334-395.
  13. Natesh R, Schwager SL, Sturrock ED, Acharya KR. Crystal structure of the human angiotensin-converting enzyme-lisinopril complex. Nature, (2003); 421(6922): 551-554.
  14. Warner NJ, Rush JE. Safety profiles of the angiotensin-converting enzyme inhibitors. Drugs, (1988); 35: 89-97.
  15. Shoichet BK. Virtual screening of chemical libraries. Nature, (2004); 432(7019): 862-865.
  16. Harirforoosh S, Asghar W, Jamali F. Adverse effects of nonsteroidal antiinflammatory drugs: an update of gastrointestinal, cardiovascular and renal complications. Journal of Pharmaceutical Sciences, (2013); 16(5): 821-847.
  17. Kjeldsen SE. Hypertension and cardiovascular risk: General aspects. Pharmacological Research, (2018); 129: 95-99.
  18. Al-Makki A, DiPette D, Whelton PK, Murad MH, Mustafa RA, et al. Hypertension Pharmacological Treatment in Adults: A World Health Organization Guideline Executive Summary. Hypertension, (2022); 79(1): 293-301.
  19. Kumbhare RM, Kosurkar UB, Bagul PK, Kanwal A, Appalanaidu K, et al. Synthesis and evaluation of novel triazoles and mannich bases functionalized 1,4-dihydropyridine as angiotensin converting enzyme (ACE) inhibitors. Bioorganic & Medicinal Chemistry, (2014); 22(21): 5824-5830.
  20. Jung IH, Kim SE, Lee YG, Kim DH, Kim H, et al. Antihypertensive Effect of Ethanolic Extract from Acanthopanax sessiliflorus Fruits and Quality Control of Active Compounds. Oxidative Medicine and Cellular Longevity, (2018); 2018: 5158243.
  21. Shaikh S, Aaqil H, Rizvi SM, Shakil S, Abuzenadah AM, et al. Comparative Inhibition Study of Compounds Identified in the Methanolic Extract of Apamarga Kshara Against Trichomonas vaginalis Carbamate Kinase (TvCK): An Enzoinformatics Approach. Interdisciplinary Sciences: Computational Life Sciences, (2016); 8(4): 357-365.
  22. Alqahtani LS, Alkathiri AS, Alzahrani A, Alghamdi RM, Alamri WA et al. Structure-Based Virtual Screening of Antiviral Compounds Targeting the Norovirus RdRp Protein. Advancements in Life Sciences, (2024); 11(2): 670-681.
  23. Sayed Murad HA, M MR, Alqahtani SM, B SR, Alghamdi S, et al. Molecular docking analysis of AGTR1 antagonists. Bioinformation, (2023); 19(3): 284-289.
  24. Abdulrahman A, Mohammad Azhar K, Asif Hussain A, Ali Abdullah A, Marui IS, et al. Molecular docking analysis of MCL-1 inhibitors for breast cancer management. Bioinformation, (2023); 19(6): 707-712.
  25. Tarique M, Ahmad S, Malik A, Ahmad I, Saeed M, et al. Correction to: Novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) and Other Coronaviruses: A Genome-wide Comparative Annotation and Analysis. Molecular and Cellular Biochemistry, (2022); 477(2): 645.

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