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Amorim VMDF, Soares EP, Ferrari ASDA, Merighi DGS, de Souza RF, Guzzo CR, de Souza AS. 3-Chymotrypsin-like Protease (3CLpro) of SARS-CoV-2: Validation as a Molecular Target, Proposal of a Novel Catalytic Mechanism, and Inhibitors in Preclinical and Clinical Trials. Viruses 2024; 16:844. [PMID: 38932137 PMCID: PMC11209289 DOI: 10.3390/v16060844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 05/21/2024] [Accepted: 05/21/2024] [Indexed: 06/28/2024] Open
Abstract
Proteases represent common targets in combating infectious diseases, including COVID-19. The 3-chymotrypsin-like protease (3CLpro) is a validated molecular target for COVID-19, and it is key for developing potent and selective inhibitors for inhibiting viral replication of SARS-CoV-2. In this review, we discuss structural relationships and diverse subsites of 3CLpro, shedding light on the pivotal role of dimerization and active site architecture in substrate recognition and catalysis. Our analysis of bioinformatics and other published studies motivated us to investigate a novel catalytic mechanism for the SARS-CoV-2 polyprotein cleavage by 3CLpro, centering on the triad mechanism involving His41-Cys145-Asp187 and its indispensable role in viral replication. Our hypothesis is that Asp187 may participate in modulating the pKa of the His41, in which catalytic histidine may act as an acid and/or a base in the catalytic mechanism. Recognizing Asp187 as a crucial component in the catalytic process underscores its significance as a fundamental pharmacophoric element in drug design. Next, we provide an overview of both covalent and non-covalent inhibitors, elucidating advancements in drug development observed in preclinical and clinical trials. By highlighting various chemical classes and their pharmacokinetic profiles, our review aims to guide future research directions toward the development of highly selective inhibitors, underscore the significance of 3CLpro as a validated therapeutic target, and propel the progression of drug candidates through preclinical and clinical phases.
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Affiliation(s)
| | | | | | | | | | - Cristiane Rodrigues Guzzo
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 5508-900, Brazil; (V.M.d.F.A.); (E.P.S.); (A.S.d.A.F.); (D.G.S.M.); (R.F.d.S.)
| | - Anacleto Silva de Souza
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 5508-900, Brazil; (V.M.d.F.A.); (E.P.S.); (A.S.d.A.F.); (D.G.S.M.); (R.F.d.S.)
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2
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Paulino M, Espinosa-Bustos C, Bertrand J, Cabezas D, Mella J, Dávila B, Cerecetto H, Ballesteros-Casallas A, Salas CO. Development of 3D-QSAR and pharmacophoric models to design new anti- Trypanosoma cruzi agents based on 2-aryloxynaphthoquinone scaffold. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2022; 33:701-728. [PMID: 36106834 DOI: 10.1080/1062936x.2022.2120069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 08/28/2022] [Indexed: 06/15/2023]
Abstract
In this work we have collected a set of 30 trypanosomicidal naphthoquinones and developed pharmacophoric and 3D-QSAR models as tools for the design of new potential anti-Chagasic compounds. Firstly, qualitative information was obtained from SAR and pharmacophoric models identifying some fragments around the 2-aryloxynaphthoquinone scaffold important for the antiparasitic activity. Then, 3D-QSAR CoMFA and CoMSIA models were developed. The models showed adequate statistical parameters where the steric, electrostatic, and hydrophobic features explain the trypanosomicidal effect. Therefore, to validate our models, we carried out the design, synthesis, and biological evaluation on T. cruzi epimastigotes of five new compounds (33a-e). According to CoMFA model, three out of five compounds showed pIC50 values within one logarithmic unit of deviation. The two compounds that did not fit the predictions were those with high lipophilicity, which agreed with the SAR and pharmacophore models. Docking and molecular dynamic studies were performed on T. cruzi trypanothione reductase, in a proposed binding site for this type of naphthoquinone. Interestingly, 33a-e showed the same interaction pattern as a naphthoquinone inhibitor (2). Finally, predicted drug-likeness properties indicated that 33a-e have optimal oral bioavailability. Thus, this study provides new in silico models for obtaining novel trypanosomicidal compounds.
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Affiliation(s)
- M Paulino
- Área Bioinformática, Departamento de Experimentación y Teoría de la Materia y sus Aplicaciones, Facultad de Química, Universidad de la República, Montevideo, Uruguay
| | - C Espinosa-Bustos
- Departamento de Farmacia, Facultad de Química y de Farmacia, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - J Bertrand
- Departamento de Química Orgánica, Facultad de Química y de Farmacia, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - D Cabezas
- Instituto de Química y Bioquímica, Facultad de Ciencias, Universidad de Valparaíso, Valparaíso, Chile
| | - J Mella
- Instituto de Química y Bioquímica, Facultad de Ciencias, Universidad de Valparaíso, Valparaíso, Chile
- Centro de Investigación Farmacopea Chilena, Escuela de Química y Farmacia, Facultad de Farmacia, Universidad de Valparaíso, Valparaíso, Chile
| | - B Dávila
- Grupo de Química Orgánica Medicinal, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
| | - H Cerecetto
- Grupo de Química Orgánica Medicinal, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
- Área de Radiofarmacia, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
| | - A Ballesteros-Casallas
- Área Bioinformática, Departamento de Experimentación y Teoría de la Materia y sus Aplicaciones, Facultad de Química, Universidad de la República, Montevideo, Uruguay
| | - C O Salas
- Departamento de Química Orgánica, Facultad de Química y de Farmacia, Pontificia Universidad Católica de Chile, Santiago, Chile
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Examination of multiple Trypanosoma cruzi targets in a new drug discovery approach for Chagas disease. Bioorg Med Chem 2022; 58:116577. [DOI: 10.1016/j.bmc.2021.116577] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 12/10/2021] [Accepted: 12/10/2021] [Indexed: 12/21/2022]
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Scotti MT, Monteiro AFM, de Oliveira Viana J, Bezerra Mendonça Junior FJ, Ishiki HM, Tchouboun EN, De Araújo RSA, Scotti L. Recent Theoretical Studies Concerning Important Tropical Infections. Curr Med Chem 2020; 27:795-834. [DOI: 10.2174/0929867326666190711121418] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 07/20/2018] [Accepted: 04/12/2019] [Indexed: 01/02/2023]
Abstract
Neglected Tropical Diseases (NTDs) form a group of diseases that are strongly associated
with poverty, flourish in impoverished environments, and thrive best in tropical areas,
where they tend to present overlap. They comprise several diseases, and the symptoms
vary dramatically from disease to disease, often causing from extreme pain, and untold misery
that anchors populations to poverty, permanent disability, and death. They affect more than 1
billion people worldwide; mostly in poor populations living in tropical and subtropical climates.
In this review, several complementary in silico approaches are presented; including
identification of new therapeutic targets, novel mechanisms of activity, high-throughput
screening of small-molecule libraries, as well as in silico quantitative structure-activity relationship
and recent molecular docking studies. Current and active research against Sleeping
Sickness, American trypanosomiasis, Leishmaniasis and Schistosomiasis infections will hopefully
lead to safer, more effective, less costly and more widely available treatments against
these parasitic forms of Neglected Tropical Diseases (NTDs) in the near future.
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Affiliation(s)
- Marcus Tullius Scotti
- Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, Joao Pessoa - PB, Brazil
| | - Alex France Messias Monteiro
- Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, Joao Pessoa - PB, Brazil
| | - Jéssika de Oliveira Viana
- Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, Joao Pessoa - PB, Brazil
| | | | - Hamilton M. Ishiki
- University of Western Sao Paulo (Unoeste), Presidente Prudente, SP, Brazil
| | | | - Rodrigo Santos A. De Araújo
- Laboratory of Synthesis and Drug Delivery, Department of Biological Science, State University of Paraiba, Joao Pessoa, PB, Brazil
| | - Luciana Scotti
- Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, Joao Pessoa - PB, Brazil
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Teli MK, Kumar S, Yadav DK, Kim MH. In silico identification of hydantoin derivatives: a novel natural prolyl hydroxylase inhibitor. J Biomol Struct Dyn 2020; 39:703-717. [DOI: 10.1080/07391102.2020.1714480] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Mahesh Kumar Teli
- Gachon Institute of Pharmaceutical Science & College of Pharmacy, Gachon University, Incheon, Korea
| | - Surendra Kumar
- Gachon Institute of Pharmaceutical Science & College of Pharmacy, Gachon University, Incheon, Korea
| | - Dharmendra Kumar Yadav
- Gachon Institute of Pharmaceutical Science & College of Pharmacy, Gachon University, Incheon, Korea
| | - Mi-hyun Kim
- Gachon Institute of Pharmaceutical Science & College of Pharmacy, Gachon University, Incheon, Korea
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Luchi A, Villafañe RN, Gómez Chávez JL, Bogado ML, Angelina EL, Peruchena NM. Combining Charge Density Analysis with Machine Learning Tools To Investigate the Cruzain Inhibition Mechanism. ACS OMEGA 2019; 4:19582-19594. [PMID: 31788588 PMCID: PMC6881835 DOI: 10.1021/acsomega.9b01934] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 10/18/2019] [Indexed: 05/28/2023]
Abstract
Trypanosoma cruzi, a flagellate protozoan parasite, is responsible for Chagas disease. The parasite major cysteine protease, cruzain (Cz), plays a vital role at every stage of its life cycle and the active-site region of the enzyme, similar to those of other members of the papain superfamily, is well characterized. Taking advantage of structural information available in public databases about Cz bound to known covalent inhibitors, along with their corresponding activity annotations, in this work, we performed a deep analysis of the molecular interactions at the Cz binding cleft, in order to investigate the enzyme inhibition mechanism. Our toolbox for performing this study consisted of the charge density topological analysis of the complexes to extract the molecular interactions and machine learning classification models to relate the interactions with biological activity. More precisely, such a combination was useful for the classification of molecular interactions as "active-like" or "inactive-like" according to whether they are prevalent in the most active or less active complexes, respectively. Further analysis of interactions with the help of unsupervised learning tools also allowed the understanding of how these interactions come into play together to trigger the enzyme into a particular conformational state. Most active inhibitors induce some conformational changes within the enzyme that lead to an overall better fit of the inhibitor into the binding cleft. Curiously, some of these conformational changes can be considered as a hallmark of the substrate recognition event, which means that most active inhibitors are likely recognized by the enzyme as if they were its own substrate so that the catalytic machinery is arranged as if it is about to break the substrate scissile bond. Overall, these results contribute to a better understanding of the enzyme inhibition mechanism. Moreover, the information about main interactions extracted through this work is already being used in our lab to guide docking solutions in ongoing prospective virtual screening campaigns to search for novel noncovalent cruzain inhibitors.
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Hyphenated 3D-QSAR statistical model-drug repurposing analysis for the identification of potent neuraminidase inhibitor. Cell Biochem Biophys 2018; 76:357-376. [PMID: 29687225 DOI: 10.1007/s12013-018-0844-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 04/10/2018] [Indexed: 01/30/2023]
Abstract
The Influenza A virus is one of the principle causes of respiratory illness in human. The surface glycoprotein of the influenza virus, neuraminidase (NA), has a vital role in the release of new viral particle and spreads infection in the respiratory tract. It has been long recognized as a valid drug target for influenza A virus infection. Oseltamivir is used as a standard drug of choice for the treatment of influenza. However, the emergence of mutants with novel mutations has increased the resistance to potent NA inhibitor. In the present investigation, we have employed computer-assisted combinatorial techniques in the screening of 8621 molecules from Drug Bank to find potent NA inhibitors. A three-dimensional pharmacophore model was generated from the previously reported 28 carbocylic influenza NA inhibitors along with oseltamivir using PHASE module of Schrödinger Suite. The model generated consists of one hydrogen bond acceptor (A), one hydrogen bond donors (D), one hydrophobic group (H), and one positively charged group (P), ADHP. The hypothesis was further validated for its integrity and significance using enrichment analysis. Subsequently, an atom-based 3D-QSAR model was built using the common pharmacophore hypothesis (CPH). The developed 3D-QSAR model was found to be statistically significant with R2 value of 0.9866 and Q2 value of 0.7629. Further screening was accomplished using three-stage docking process using the Glide algorithm. The resultant lead molecules were examined for its drug-like properties using the Qikprop algorithm. Finally, the calculated pIC50 values of the lead compounds were validated by the AutoQSAR algorithm. Overall, the results from our analysis highlights that lisinopril (DB00722) is predicted to bind better with NA than currently approved drug. In addition, it has the best match in binding geometry conformations with the existing NA inhibitor. Note that the antiviral activity of lisinopril is reported in the literature. However, our paper is the first report on lisinopril activity against influenza A virus infection. These results are envisioned to help design the novel NA inhibitors with an increased antiviral efficacy.
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