1
|
Vyas VK, Shukla T, Sharma M. Medicinal chemistry approaches for the discovery of Plasmodium falciparum dihydroorotate dehydrogenase inhibitors as antimalarial agents. Future Med Chem 2023; 15:1295-1321. [PMID: 37551689 DOI: 10.4155/fmc-2023-0113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2023] Open
Abstract
Malaria is a severe human disease and a global health problem because of drug-resistant strains. Drugs reported to prevent the growth of Plasmodium parasites target various phases of the parasites' life cycle. Antimalarial drugs can inhibit key enzymes that are responsible for the cellular growth and development of parasites. Plasmodium falciparum dihydroorotate dehydrogenase is one such enzyme that is necessary for de novo pyrimidine biosynthesis. This review focuses on various medicinal chemistry approaches used for the discovery and identification of selective P. falciparum dihydroorotate dehydrogenase inhibitors as antimalarial agents. This comprehensive review discusses recent advances in the selective therapeutic activity of distinct chemical classes of compounds as P. falciparum dihydroorotate dehydrogenase inhibitors and antimalarial drugs.
Collapse
Affiliation(s)
- Vivek K Vyas
- Department of Pharmaceutical Chemistry, Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat, 382481, India
| | - Tanvi Shukla
- Department of Pharmaceutical Chemistry, Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat, 382481, India
| | - Manmohan Sharma
- Department of Pharmaceutical Chemistry, Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat, 382481, India
| |
Collapse
|
2
|
In Silico Tools and Software to Predict ADMET of New Drug Candidates. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2425:85-115. [PMID: 35188629 DOI: 10.1007/978-1-0716-1960-5_4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Implication of computational techniques and in silico tools promote not only reduction of animal experimentations but also save time and money followed by rational designing of drugs as well as controlled synthesis of those "Hits" which show drug-likeness and possess suitable absorption, distribution, metabolism, excretion, and toxicity (ADMET) profile. With globalization of diseases, resistance of drugs over the time and modification of viruses and microorganisms, computational tools, and artificial intelligence are the future of drug design and one of the important areas where the principles of sustainability and green chemistry (GC) perfectly fit. Most of the new drug entities fail in the clinical trials over the issue of drug-associated human toxicity. Although ecotoxicity related to new drugs is rarely considered, but this is the high time when ecotoxicity prediction should get equal importance along with human-associated drug toxicity. Thus, the present book chapter discusses the available in silico tools and software for the fast and preliminary prediction of a series of human-associated toxicity and ecotoxicity of new drug entities to screen possibly safer drugs before going into preclinical and clinical trials.
Collapse
|
3
|
Siebert DCB, Wieder M, Schlener L, Scholze P, Boresch S, Langer T, Schnürch M, Mihovilovic MD, Richter L, Ernst M, Ecker GF. SAR-Guided Scoring Function and Mutational Validation Reveal the Binding Mode of CGS-8216 at the α1+/γ2- Benzodiazepine Site. J Chem Inf Model 2018; 58:1682-1696. [PMID: 30028134 DOI: 10.1021/acs.jcim.8b00199] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The structural resolution of a bound ligand-receptor complex is a key asset to efficiently drive lead optimization in drug design. However, structural resolution of many drug targets still remains a challenging endeavor. In the absence of structural knowledge, scientists resort to structure-activity relationships (SARs) to promote compound development. In this study, we incorporated ligand-based knowledge to formulate a docking scoring function that evaluates binding poses for their agreement with a known SAR. We showcased this protocol by identifying the binding mode of the pyrazoloquinolinone (PQ) CGS-8216 at the benzodiazepine binding site of the GABAA receptor. Further evaluation of the final pose by molecular dynamics and free energy simulations revealed a close proximity between the pendent phenyl ring of the PQ and γ2D56, congruent with the low potency of carboxyphenyl analogues. Ultimately, we introduced the γ2D56A mutation and in fact observed a 10-fold potency increase in the carboxyphenyl analogue, providing experimental evidence in favor of our binding hypothesis.
Collapse
Affiliation(s)
- David C B Siebert
- Institute of Applied Synthetic Chemistry , TU Wien , Getreidemarkt 9/163 , 1060 Vienna , Austria
| | - Marcus Wieder
- Department of Pharmaceutical Chemistry , University of Vienna , Althanstrasse 14 , 1090 Vienna , Austria.,Faculty of Chemistry, Department of Computational Biological Chemistry , University of Vienna , Währingerstrasse 17 , 1090 Vienna , Austria
| | - Lydia Schlener
- Department of Pharmaceutical Chemistry , University of Vienna , Althanstrasse 14 , 1090 Vienna , Austria
| | - Petra Scholze
- Department of Pathobiology of the Nervous System, Center for Brain Research , Medical University of Vienna , Spitalgasse 4 , 1090 Vienna , Austria
| | - Stefan Boresch
- Faculty of Chemistry, Department of Computational Biological Chemistry , University of Vienna , Währingerstrasse 17 , 1090 Vienna , Austria
| | - Thierry Langer
- Department of Pharmaceutical Chemistry , University of Vienna , Althanstrasse 14 , 1090 Vienna , Austria
| | - Michael Schnürch
- Institute of Applied Synthetic Chemistry , TU Wien , Getreidemarkt 9/163 , 1060 Vienna , Austria
| | - Marko D Mihovilovic
- Institute of Applied Synthetic Chemistry , TU Wien , Getreidemarkt 9/163 , 1060 Vienna , Austria
| | - Lars Richter
- Department of Pharmaceutical Chemistry , University of Vienna , Althanstrasse 14 , 1090 Vienna , Austria
| | - Margot Ernst
- Department of Molecular Neurosciences, Center for Brain Research , Medical University of Vienna , Spitalgasse 4 , 1090 Vienna , Austria
| | - Gerhard F Ecker
- Department of Pharmaceutical Chemistry , University of Vienna , Althanstrasse 14 , 1090 Vienna , Austria
| |
Collapse
|
4
|
Aneja B, Kumar B, Jairajpuri MA, Abid M. A structure guided drug-discovery approach towards identification of Plasmodium inhibitors. RSC Adv 2016. [DOI: 10.1039/c5ra19673f] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
This article provides a comprehensive review of inhibitors from natural, semisynthetic or synthetic sources against key targets ofPlasmodium falciparum.
Collapse
Affiliation(s)
- Babita Aneja
- Medicinal Chemistry Lab
- Department of Biosciences
- Jamia Millia Islamia (A Central University)
- New Delhi 110025
- India
| | - Bhumika Kumar
- Medicinal Chemistry Lab
- Department of Biosciences
- Jamia Millia Islamia (A Central University)
- New Delhi 110025
- India
| | - Mohamad Aman Jairajpuri
- Protein Conformation and Enzymology Lab
- Department of Biosciences
- Jamia Millia Islamia (A Central University)
- New Delhi 110025
- India
| | - Mohammad Abid
- Medicinal Chemistry Lab
- Department of Biosciences
- Jamia Millia Islamia (A Central University)
- New Delhi 110025
- India
| |
Collapse
|
5
|
Yuriev E, Holien J, Ramsland PA. Improvements, trends, and new ideas in molecular docking: 2012-2013 in review. J Mol Recognit 2015; 28:581-604. [PMID: 25808539 DOI: 10.1002/jmr.2471] [Citation(s) in RCA: 159] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2014] [Revised: 01/16/2015] [Accepted: 02/05/2015] [Indexed: 12/11/2022]
Abstract
Molecular docking is a computational method for predicting the placement of ligands in the binding sites of their receptor(s). In this review, we discuss the methodological developments that occurred in the docking field in 2012 and 2013, with a particular focus on the more difficult aspects of this computational discipline. The main challenges and therefore focal points for developments in docking, covered in this review, are receptor flexibility, solvation, scoring, and virtual screening. We specifically deal with such aspects of molecular docking and its applications as selection criteria for constructing receptor ensembles, target dependence of scoring functions, integration of higher-level theory into scoring, implicit and explicit handling of solvation in the binding process, and comparison and evaluation of docking and scoring methods.
Collapse
Affiliation(s)
- Elizabeth Yuriev
- Medicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria, 3052, Australia
| | - Jessica Holien
- ACRF Rational Drug Discovery Centre and Structural Biology Laboratory, St. Vincent's Institute of Medical Research, Fitzroy, Victoria, 3065, Australia
| | - Paul A Ramsland
- Centre for Biomedical Research, Burnet Institute, Melbourne, Victoria, 3004, Australia.,Department of Surgery Austin Health, University of Melbourne, Melbourne, Victoria, 3084, Australia.,Department of Immunology, Monash University, Alfred Medical Research and Education Precinct, Melbourne, Victoria, 3004, Australia.,School of Biomedical Sciences, CHIRI Biosciences, Curtin University, Perth, Western Australia, 6845, Australia
| |
Collapse
|
6
|
Ojha PK, Roy K. First report on exploring structural requirements of alpha and beta thymidine analogs for PfTMPK inhibitory activity using in silico studies. Biosystems 2013; 113:177-95. [DOI: 10.1016/j.biosystems.2013.07.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Revised: 06/26/2013] [Accepted: 07/02/2013] [Indexed: 12/23/2022]
|
7
|
Mitra I, Saha A, Roy K. Quantification of contributions of different molecular fragments for antioxidant activity of coumarin derivatives based on QSAR analyses. CAN J CHEM 2013. [DOI: 10.1139/cjc-2012-0527] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Attempts have been made in the present work using in silico techniques for identification of essential structural features imparting antioxidant potential to naturally available coumarin molecules and their synthetic derivatives. Four different types of modeling tools have been employed for the qualitative and quantitative assessment of the molecular fragments constituting the biological pharmacophore. The descriptor-based quantitative structure–activity relationship (QSAR) and group-based QSAR (G-QSAR) models provide a quantitative estimation of the substituent requirements and the chemical nature of the parent moiety. Subsequently, 3D pharmacophore and hologram QSAR (HQSAR) models enable identification of the key molecular components necessary for the antioxidant potency to the molecules. All of the different models infer the importance of the hydrogen bond acceptor ketonic fragment for interaction of the antioxidant molecules with the neighbouring toxic radicals. Additionally, the phenyl substituent attached to the side chain and the benzene nucleus of the benzopyran moiety also constitute the response pharmacophore for the molecules under study. The models thus developed may serve as an essential query tool for screening of databases for selection of molecules bearing the essential fragments and subsequent prediction of their free radical scavenging potency.
Collapse
Affiliation(s)
- Indrani Mitra
- Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India
| | - Achintya Saha
- Department of Chemical Technology, University of Calcutta, 92 A P C Road, Kolkata 700009, India
| | - Kunal Roy
- Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India
| |
Collapse
|