Unveiling potent inhibitors for schistosomiasis through ligand-based drug design, molecular docking, molecular dynamics simulations and pharmacokinetics predictions
Schistosomiasis is a neglected tropical disease which imposes a considerable and enduring impact on affected regions, leading to persistent morbidity, hindering child development, diminishing productivity, and imposing economic burdens. Due to the emergence of drug resistance and limited management...
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creator | Ja'afaru, Saudatu Chinade Uzairu, Adamu Bayil, Imren Sallau, Muhammed Sani Ndukwe, George Iloegbulam Ibrahim, Muhammad Tukur Moin, Abu Tayab Mollah, A K M Moniruzzaman Absar, Nurul |
description | Schistosomiasis is a neglected tropical disease which imposes a considerable and enduring impact on affected regions, leading to persistent morbidity, hindering child development, diminishing productivity, and imposing economic burdens. Due to the emergence of drug resistance and limited management options, there is need to develop additional effective inhibitors for schistosomiasis. In view of this, quantitative structure-activity relationship studies, molecular docking, molecular dynamics simulations, drug-likeness and pharmacokinetics predictions were applied to 39 Schistosoma mansoni Thioredoxin Glutathione Reductase (SmTGR) inhibitors. The chosen QSAR model demonstrated robust statistical parameters, including an R2 of 0.798, R2adj of 0.767, Q2cv of 0.681, LOF of 0.930, R2test of 0.776, and cR2p of 0.746, confirming its reliability. The most active derivative (compound 40) was identified as a lead candidate for the development of new potential non-covalent inhibitors through ligand-based design. Subsequently, 12 novel compounds (40a-40l) were designed with enhanced anti-schistosomiasis activity and binding affinity. Molecular docking studies revealed strong and stable interactions, including hydrogen bonding, between the designed compounds and the target receptor. Molecular dynamics simulations over 100 nanoseconds and MM-PBSA free binding energy (ΔGbind) calculations validated the stability of the two best-designed molecules. Furthermore, drug-likeness and pharmacokinetics prediction analyses affirmed the potential of these designed compounds, suggesting their promise as innovative agents for the treatment of schistosomiasis. |
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Due to the emergence of drug resistance and limited management options, there is need to develop additional effective inhibitors for schistosomiasis. In view of this, quantitative structure-activity relationship studies, molecular docking, molecular dynamics simulations, drug-likeness and pharmacokinetics predictions were applied to 39 Schistosoma mansoni Thioredoxin Glutathione Reductase (SmTGR) inhibitors. The chosen QSAR model demonstrated robust statistical parameters, including an R2 of 0.798, R2adj of 0.767, Q2cv of 0.681, LOF of 0.930, R2test of 0.776, and cR2p of 0.746, confirming its reliability. The most active derivative (compound 40) was identified as a lead candidate for the development of new potential non-covalent inhibitors through ligand-based design. Subsequently, 12 novel compounds (40a-40l) were designed with enhanced anti-schistosomiasis activity and binding affinity. Molecular docking studies revealed strong and stable interactions, including hydrogen bonding, between the designed compounds and the target receptor. Molecular dynamics simulations over 100 nanoseconds and MM-PBSA free binding energy (ΔGbind) calculations validated the stability of the two best-designed molecules. Furthermore, drug-likeness and pharmacokinetics prediction analyses affirmed the potential of these designed compounds, suggesting their promise as innovative agents for the treatment of schistosomiasis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0302390</identifier><identifier>PMID: 38923997</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Animals ; Biology and Life Sciences ; Boceprevir ; Bonding strength ; Candidates ; Chemical bonds ; Datasets ; Design ; Drug Design ; Drug development ; Drug resistance ; Force and energy ; Glutathione ; Glutathione reductase ; Humans ; Hydrogen ; Hydrogen bonding ; Inhibitors ; Laboratories ; Ligands ; Medical innovations ; Medicine and Health Sciences ; Molecular docking ; Molecular Docking Simulation ; Molecular dynamics ; Molecular Dynamics Simulation ; Molecular structure ; Morbidity ; Multienzyme Complexes ; NADH, NADPH Oxidoreductases - antagonists & inhibitors ; NADH, NADPH Oxidoreductases - chemistry ; NADH, NADPH Oxidoreductases - metabolism ; Optimization ; Parameter robustness ; Parasites ; Pharmacokinetics ; Physical Sciences ; Predictions ; Quantitative Structure-Activity Relationship ; R&D ; Raltegravir ; Reductases ; Research & development ; Research and Analysis Methods ; Schistosoma mansoni - drug effects ; Schistosomiasis ; Schistosomiasis - drug therapy ; Simulation ; Simulation methods ; Software ; Statistical models ; Structure-activity relationships ; Thioredoxin</subject><ispartof>PloS one, 2024-06, Vol.19 (6), p.e0302390</ispartof><rights>Copyright: © 2024 Ja’afaru et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Ja’afaru et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Ja’afaru et al 2024 Ja’afaru et al</rights><rights>2024 Ja’afaru et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Due to the emergence of drug resistance and limited management options, there is need to develop additional effective inhibitors for schistosomiasis. In view of this, quantitative structure-activity relationship studies, molecular docking, molecular dynamics simulations, drug-likeness and pharmacokinetics predictions were applied to 39 Schistosoma mansoni Thioredoxin Glutathione Reductase (SmTGR) inhibitors. The chosen QSAR model demonstrated robust statistical parameters, including an R2 of 0.798, R2adj of 0.767, Q2cv of 0.681, LOF of 0.930, R2test of 0.776, and cR2p of 0.746, confirming its reliability. The most active derivative (compound 40) was identified as a lead candidate for the development of new potential non-covalent inhibitors through ligand-based design. Subsequently, 12 novel compounds (40a-40l) were designed with enhanced anti-schistosomiasis activity and binding affinity. 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Furthermore, drug-likeness and pharmacokinetics prediction analyses affirmed the potential of these designed compounds, suggesting their promise as innovative agents for the treatment of schistosomiasis.</description><subject>Animals</subject><subject>Biology and Life Sciences</subject><subject>Boceprevir</subject><subject>Bonding strength</subject><subject>Candidates</subject><subject>Chemical bonds</subject><subject>Datasets</subject><subject>Design</subject><subject>Drug Design</subject><subject>Drug development</subject><subject>Drug resistance</subject><subject>Force and energy</subject><subject>Glutathione</subject><subject>Glutathione reductase</subject><subject>Humans</subject><subject>Hydrogen</subject><subject>Hydrogen bonding</subject><subject>Inhibitors</subject><subject>Laboratories</subject><subject>Ligands</subject><subject>Medical innovations</subject><subject>Medicine and Health Sciences</subject><subject>Molecular docking</subject><subject>Molecular Docking 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Iloegbulam</au><au>Ibrahim, Muhammad Tukur</au><au>Moin, Abu Tayab</au><au>Mollah, A K M Moniruzzaman</au><au>Absar, Nurul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unveiling potent inhibitors for schistosomiasis through ligand-based drug design, molecular docking, molecular dynamics simulations and pharmacokinetics predictions</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-06-26</date><risdate>2024</risdate><volume>19</volume><issue>6</issue><spage>e0302390</spage><pages>e0302390-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Schistosomiasis is a neglected tropical disease which imposes a considerable and enduring impact on affected regions, leading to persistent morbidity, hindering child development, diminishing productivity, and imposing economic burdens. Due to the emergence of drug resistance and limited management options, there is need to develop additional effective inhibitors for schistosomiasis. In view of this, quantitative structure-activity relationship studies, molecular docking, molecular dynamics simulations, drug-likeness and pharmacokinetics predictions were applied to 39 Schistosoma mansoni Thioredoxin Glutathione Reductase (SmTGR) inhibitors. The chosen QSAR model demonstrated robust statistical parameters, including an R2 of 0.798, R2adj of 0.767, Q2cv of 0.681, LOF of 0.930, R2test of 0.776, and cR2p of 0.746, confirming its reliability. The most active derivative (compound 40) was identified as a lead candidate for the development of new potential non-covalent inhibitors through ligand-based design. Subsequently, 12 novel compounds (40a-40l) were designed with enhanced anti-schistosomiasis activity and binding affinity. Molecular docking studies revealed strong and stable interactions, including hydrogen bonding, between the designed compounds and the target receptor. Molecular dynamics simulations over 100 nanoseconds and MM-PBSA free binding energy (ΔGbind) calculations validated the stability of the two best-designed molecules. Furthermore, drug-likeness and pharmacokinetics prediction analyses affirmed the potential of these designed compounds, suggesting their promise as innovative agents for the treatment of schistosomiasis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38923997</pmid><doi>10.1371/journal.pone.0302390</doi><tpages>e0302390</tpages><orcidid>https://orcid.org/0000-0001-8613-6539</orcidid><orcidid>https://orcid.org/0000-0002-2954-3215</orcidid><orcidid>https://orcid.org/0009-0006-9261-4641</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-06, Vol.19 (6), p.e0302390 |
issn | 1932-6203 1932-6203 |
language | eng |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Animals Biology and Life Sciences Boceprevir Bonding strength Candidates Chemical bonds Datasets Design Drug Design Drug development Drug resistance Force and energy Glutathione Glutathione reductase Humans Hydrogen Hydrogen bonding Inhibitors Laboratories Ligands Medical innovations Medicine and Health Sciences Molecular docking Molecular Docking Simulation Molecular dynamics Molecular Dynamics Simulation Molecular structure Morbidity Multienzyme Complexes NADH, NADPH Oxidoreductases - antagonists & inhibitors NADH, NADPH Oxidoreductases - chemistry NADH, NADPH Oxidoreductases - metabolism Optimization Parameter robustness Parasites Pharmacokinetics Physical Sciences Predictions Quantitative Structure-Activity Relationship R&D Raltegravir Reductases Research & development Research and Analysis Methods Schistosoma mansoni - drug effects Schistosomiasis Schistosomiasis - drug therapy Simulation Simulation methods Software Statistical models Structure-activity relationships Thioredoxin |
title | Unveiling potent inhibitors for schistosomiasis through ligand-based drug design, molecular docking, molecular dynamics simulations and pharmacokinetics predictions |
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