1
|
Chouhan M, Tiwari PK, Mishra R, Gupta S, Kumar M, Almuqri EA, Ibrahim NA, Basher NS, Chaudhary AA, Dwivedi VD, Verma D, Kumar S. Unearthing phytochemicals as natural inhibitors for pantothenate synthetase in Mycobacterium tuberculosis: A computational approach. Front Pharmacol 2024; 15:1403900. [PMID: 39135797 PMCID: PMC11317409 DOI: 10.3389/fphar.2024.1403900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 06/18/2024] [Indexed: 08/15/2024] Open
Abstract
Pantothenate synthetase protein plays a pivotal role in the biosynthesis of coenzyme A (CoA), which is a crucial molecule involved in a number of cellular processes including the metabolism of fatty acid, energy production, and the synthesis of various biomolecules, which is necessary for the survival of Mycobacterium tuberculosis (Mtb). Therefore, inhibiting this protein could disrupt CoA synthesis, leading to the impairment of vital metabolic processes within the bacterium, ultimately inhibiting its growth and survival. This study employed molecular docking, structure-based virtual screening, and molecular dynamics (MD) simulation to identify promising phytochemical compounds targeting pantothenate synthetase for tuberculosis (TB) treatment. Among 239 compounds, the top three (rutin, sesamin, and catechin gallate) were selected, with binding energy values ranging from -11 to -10.3 kcal/mol, and the selected complexes showed RMSD (<3 Å) for 100 ns MD simulation time. Furthermore, molecular mechanics generalized Born surface area (MM/GBSA) binding free energy calculations affirmed the stability of these three selected phytochemicals with binding energy ranges from -82.24 ± 9.35 to -66.83 ± 4.5 kcal/mol. Hence, these identified natural plant-derived compounds as potential inhibitors of pantothenate synthetase could be used to inhibit TB infection in humans.
Collapse
Affiliation(s)
- Mandeep Chouhan
- Biological and Bio-computational Lab, Department of Life Science, School of Basic Sciences and Research, Sharda University, Greater Noida, India
| | - Prashant Kumar Tiwari
- Biological and Bio-computational Lab, Department of Life Science, School of Basic Sciences and Research, Sharda University, Greater Noida, India
| | - Richa Mishra
- Department of Computer Engineering, Parul University, Vadodara, Gujarat, India
| | - Saurabh Gupta
- Department of Biotechnology, GLA University, Mathura, Uttar Pradesh, India
| | - Mukesh Kumar
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Eman Abdullah Almuqri
- Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Nasir A. Ibrahim
- Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Nosiba Suliman Basher
- Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Anis Ahmad Chaudhary
- Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Vivek Dhar Dwivedi
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
- Bioinformatics Research Division, Quanta Calculus, Greater Noida, India
| | - Devvret Verma
- Department of Biotechnology, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India
| | - Sanjay Kumar
- Biological and Bio-computational Lab, Department of Life Science, School of Basic Sciences and Research, Sharda University, Greater Noida, India
| |
Collapse
|
2
|
Saha B, Das A, Jangid K, Kumar A, Kumar V, Jaitak V. Identification of coumarin derivatives targeting acetylcholinesterase for Alzheimer's disease by field-based 3D-QSAR, pharmacophore model-based virtual screening, molecular docking, MM/GBSA, ADME and MD Simulation study. Curr Res Struct Biol 2024; 7:100124. [PMID: 38292820 PMCID: PMC10826614 DOI: 10.1016/j.crstbi.2024.100124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/03/2024] [Accepted: 01/03/2024] [Indexed: 02/01/2024] Open
Abstract
Alzheimer's disease (AD) leads to gradual memory loss including other compromised cognitive abilities. Acetylcholinesterase (AChE), an important biochemical enzyme from the cholinesterase (ChE) family, is recognized as primary pharmacological target for treating AD. Currently marketed drugs for AD treatment are primarily AChE inhibitors and coumarin derivatives comprising a wide variety of pharmacological activities have proved their efficacy towards AChE inhibition. Ensaculin (KA-672 HCl), a compound that belong to the coumarin family, is a clinical trial candidate for AD treatment. Therefore, a ligand library was prepared with 60 reported coumarin derivatives for field-based 3D-QSAR and pharmacophore modelling. The field-based 3D-QSAR model obtained at partial least square (PLS) factor 7, was the best validated model that predicted activity closer to original activity for each ligand introduced. The contour maps demonstrated spatial distribution of favourable and unfavorable steric, hydrophobic, electrostatic and H-bond donor and acceptor contours around coumarin nucleus. The best pharmacophore model, ADHRR_1 exhibited five essential pharmacophoric features of four different traits for optimum AChE inhibition. Virtual screening through ADHRR_1 accompanied with molecular docking and MM/GBSA identified 10 HITs from a 4,00,000 coumarin derivatives from PubChem database. HITs comprised docking scores ranging from -12.096 kcal/mol to -8.271 kcal/mol and compared with the reference drug Donepezil (-8.271 kcal/mol). ADME properties analysis led into detecting two leads (HIT 1 and HIT 2) among these 10 HITs. Molecular Dynamics Simulation indicated thermodynamic stability of the complex of lead compounds with AChE protein. Finally, thorough survey of the experimental results from 3D-QSAR modelling, pharmacophore modelling and molecular docking interactions led us to develop the lead formula I for future advancements in treating AD through AChE inhibitors.
Collapse
Affiliation(s)
- Bikram Saha
- Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda, 151401, India
| | - Agnidipta Das
- Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda, 151401, India
| | - Kailash Jangid
- Department of Chemistry, Central University of Punjab, Ghudda, Bathinda, 151401, India
| | - Amit Kumar
- Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda, 151401, India
| | - Vinod Kumar
- Department of Chemistry, Central University of Punjab, Ghudda, Bathinda, 151401, India
| | - Vikas Jaitak
- Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda, 151401, India
| |
Collapse
|
3
|
Yang J, Zhang L, Qiao W, Luo Y. Mycobacterium tuberculosis: Pathogenesis and therapeutic targets. MedComm (Beijing) 2023; 4:e353. [PMID: 37674971 PMCID: PMC10477518 DOI: 10.1002/mco2.353] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 09/08/2023] Open
Abstract
Tuberculosis (TB) remains a significant public health concern in the 21st century, especially due to drug resistance, coinfection with diseases like immunodeficiency syndrome (AIDS) and coronavirus disease 2019, and the lengthy and costly treatment protocols. In this review, we summarize the pathogenesis of TB infection, therapeutic targets, and corresponding modulators, including first-line medications, current clinical trial drugs and molecules in preclinical assessment. Understanding the mechanisms of Mycobacterium tuberculosis (Mtb) infection and important biological targets can lead to innovative treatments. While most antitubercular agents target pathogen-related processes, host-directed therapy (HDT) modalities addressing immune defense, survival mechanisms, and immunopathology also hold promise. Mtb's adaptation to the human host involves manipulating host cellular mechanisms, and HDT aims to disrupt this manipulation to enhance treatment effectiveness. Our review provides valuable insights for future anti-TB drug development efforts.
Collapse
Affiliation(s)
- Jiaxing Yang
- Center of Infectious Diseases and State Key Laboratory of Biotherapy, West China HospitalSichuan UniversityChengduChina
| | - Laiying Zhang
- Center of Infectious Diseases and State Key Laboratory of Biotherapy, West China HospitalSichuan UniversityChengduChina
| | - Wenliang Qiao
- Department of Thoracic Surgery, West China HospitalSichuan UniversityChengduSichuanChina
- Lung Cancer Center, West China HospitalSichuan UniversityChengduSichuanChina
| | - Youfu Luo
- Center of Infectious Diseases and State Key Laboratory of Biotherapy, West China HospitalSichuan UniversityChengduChina
| |
Collapse
|
4
|
Hassam M, Khan K, Jalal K, Tariq M, Tarique Moin S, Uddin R. Lead identification against Mycobacterium tuberculosis using highly enriched active molecules against pantothenate synthetase. J Biomol Struct Dyn 2023:1-18. [PMID: 37747063 DOI: 10.1080/07391102.2023.2260483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 09/13/2023] [Indexed: 09/26/2023]
Abstract
The Pantothenate synthetase (PS) from the Mycobacterium tuberculosis (Mtb) holds a crucial role in the survival and robust proliferation of bacteria through its catalysis of coenzyme A and acyl carrier protein synthesis. The present study undertook the PS drug target in complex with a co-crystallized ligand and subjected it to docking and virtual screening approaches. The experimental design encompassed three discrete datasets: an active dataset featuring 136 compounds, an inactive dataset comprising 56 compounds, and a decoys dataset curated from the zinc library, comprising an extensive compilation of approximately 53,000 compounds. The compounds' binding energies were observed to be in the range of -5 to ∼-14 kcal/mol. Additionally, binding energy results were further refined through Enrichment Factor analysis (EF). EF is a new statistical approach which uses the scores obtained from docking-based virtual screening and predicts the precision of the scoring function. Remarkably, the Enrichment Factor (EF) analysis produced exceptionally favorable outcomes, attaining an EF of approximately 49% within the uppermost 1% fraction of the compound distribution. Finally, a total of eight compounds, evenly distributed between the active dataset and the decoys dataset, emerged as potent inhibitors of the Pantothenate synthetase (PS) enzyme. The analysis of inhibition constants and binding energy revealed a notable correlation, with an r-squared value (r2) of 0.912 between the two parameters. Furthermore, the shortlisted compounds were subjected to 100 ns MD simulation to determine their stability and dynamics behavior. The decoy compounds that have been identified, exhibiting properties comparable to the active compounds, are postulated as potential candidates for targeting the Pantothenate synthetase (PS) enzyme to treat Mtb infection. Nevertheless, in the pursuit of a comprehensive investigation, it is advisable to undertake additional experimental validation as a component of the subsequent study.Communicated by Ramaswamy H. Sarma.
Collapse
Affiliation(s)
- Muhammad Hassam
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Kanwal Khan
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Khurshid Jalal
- HEJ Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Muhammad Tariq
- Third Word Center for Science and Technology, H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Syed Tarique Moin
- Third Word Center for Science and Technology, H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Reaz Uddin
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| |
Collapse
|
5
|
Das A, Sarangi M, Jangid K, Kumar V, Kumar A, Singh PP, Kaur K, Kumar V, Chakraborty S, Jaitak V. Identification of 1,3,4-oxadiazoles as tubulin-targeted anticancer agents: a combined field-based 3D-QSAR, pharmacophore model-based virtual screening, molecular docking, molecular dynamics simulation, and density functional theory calculation approach. J Biomol Struct Dyn 2023:1-19. [PMID: 37695635 DOI: 10.1080/07391102.2023.2256876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/02/2023] [Indexed: 09/12/2023]
Abstract
Cancer is one of the most prominent causes of death worldwide and tubulin is a crucial protein of cytoskeleton that maintains essential cellular functions including cell division as well as cell signalling, that makes an attractive drug target for cancer drug development. 1,3,4-oxadiazoles disrupt microtubule causing G2-M phase cell cycle arrest and provide anti-proliferative effect. In this study, field-based 3D-QSAR models were developed using 62 bioactive anti-tubulin 1,3,4-oxadiazoles. The best model characterized by PLS factor 7 was rigorously validated using various statistical parameters. Generated 3D-QSAR model having high degree of confidence showed favourable and unfavourable contours around 1,3,4-oxadiazole core that assisted in defining proper spatial positioning of desired functional groups for better bioactivity. A five featured pharmacophore model (AAHHR_1) was developed using same ligand library and validated through enrichment analysis (BEDROC160.9 value = 0.59, Average EF 1% = 27.05, and AUC = 0.74). Total 30,212 derivatives of 1,3,4-oxadiazole obtained from PubChem database was prefiltered through validated pharmacophore model and docked in XP mode on binding cavity of tubulin protein (PDB code: 1SA0) which led into the identification of 11 HITs having docking scores between -7.530 and -9.719 kcal/mol while the reference compound Colchicine exerted docking score of -7.046 kcal/mol. Following the analysis of MM-GBSA and ADME studies, HIT1 and HIT4 emerged as the two promising hits. To verify their thermodynamic stability at the target site, molecular dynamic simulations were carried out. Both HITs were further subjected to DFT analysis to determine their HOMO-LUMO energy gap for ensuring their biological feasibility. Finally, molecular docking based structural exploration for 1,3,4-oxadiazoles to set up a lead of Formula I for further advancements of tubulin polymerization inhibitors as anti-cancer agents.Communicated by Ramaswamy H. Sarma.
Collapse
Affiliation(s)
- Agnidipta Das
- Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Bathinda, India
| | - Manaswini Sarangi
- Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Bathinda, India
| | - Kailash Jangid
- Department of Chemistry, Central University of Punjab, Bathinda, India
| | - Vijay Kumar
- Department of Chemistry, Central University of Punjab, Bathinda, India
| | - Amit Kumar
- Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Bathinda, India
| | - Praval Pratap Singh
- Department of Computational Sciences, School of Basic Sciences, Central University of Punjab, Bathinda, India
| | - Kamalpreet Kaur
- Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Bathinda, India
| | - Vinod Kumar
- Department of Chemistry, Central University of Punjab, Bathinda, India
| | - Sudip Chakraborty
- Department of Computational Sciences, School of Basic Sciences, Central University of Punjab, Bathinda, India
| | - Vikas Jaitak
- Department of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Bathinda, India
| |
Collapse
|
6
|
Hassam M, Shamsi JA, Khan A, Al-Harrasi A, Uddin R. Prediction of inhibitory activities of small molecules against Pantothenate synthetase from Mycobacterium tuberculosis using Machine Learning models. Comput Biol Med 2022; 145:105453. [DOI: 10.1016/j.compbiomed.2022.105453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 03/18/2022] [Accepted: 03/23/2022] [Indexed: 11/03/2022]
|
7
|
Liu CX, Zhao X, Wang L, Yang ZC. Quinoline derivatives as potential anti-tubercular agents: Synthesis, molecular docking and mechanism of action. Microb Pathog 2022; 165:105507. [DOI: 10.1016/j.micpath.2022.105507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 02/27/2022] [Accepted: 03/26/2022] [Indexed: 10/18/2022]
|
8
|
Virtual screening against Mycobacterium tuberculosis DNA gyrase: Applications and success stories. ANNUAL REPORTS IN MEDICINAL CHEMISTRY 2022. [DOI: 10.1016/bs.armc.2022.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
9
|
Suresh A, Srinivasarao S, Khetmalis YM, Nizalapur S, Sankaranarayanan M, Gowri Chandra Sekhar KV. Inhibitors of pantothenate synthetase of Mycobacterium tuberculosis - a medicinal chemist perspective. RSC Adv 2020; 10:37098-37115. [PMID: 35521286 PMCID: PMC9057165 DOI: 10.1039/d0ra07398a] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 09/30/2020] [Indexed: 01/27/2023] Open
Abstract
Tuberculosis (TB), one of the most prevalent infections, is on the rise today. Although there are drugs available in the market to combat this lethal disorder, there are several shortcomings with the current drug regimen, such as prolonged treatment period, drug resistance, high cost, etc. Hence, it is inevitable for the current researchers across the globe to embark on new strategies for TB drug discovery, which will yield highly active low cost drugs with a shorter treatment period. To achieve this, novel strategies need to be adopted to discover new drugs. Pantothenate Synthetase (PS) is one such striking drug target in Mycobacterium tuberculosis (MTB). It was observed that the pantothenate biosynthetic pathway is crucial for the pathogenicity of MTB. Pantothenate is absent in mammals and needs to be obtained from dietary sources. Hence, the pantothenate biosynthesis pathway is an impending target for emerging new therapeutics to treat TB. Worldwide, several approaches have been implemented by researchers in the quest for these inhibitors such as high-throughput screening, simulating the reaction intermediate pantoyl adenylate, use of vibrant combinatorial chemistry, hybridization approach, virtual screening of databases, inhibitors based on the crystal structure of MTB PS, etc. The present review recapitulates current developments in PS inhibitors, important analogues of numerous metabolic intermediates, and newly established inhibitors with innumerable chemical structures.
Collapse
Affiliation(s)
- Amaroju Suresh
- Department of Chemistry, Birla Institute of Technology & Science-Pilani Hyderabad Campus, Medchal District Hyderabad-500078 Telangana India +91 40 66303527
| | - Singireddi Srinivasarao
- Department of Chemistry, Birla Institute of Technology & Science-Pilani Hyderabad Campus, Medchal District Hyderabad-500078 Telangana India +91 40 66303527
| | - Yogesh Mahadu Khetmalis
- Department of Chemistry, Birla Institute of Technology & Science-Pilani Hyderabad Campus, Medchal District Hyderabad-500078 Telangana India +91 40 66303527
| | | | - Murugesan Sankaranarayanan
- Medicinal Chemistry Research Laboratory, Department of Pharmacy, Birla Institute of Technology & Science-Pilani Pilani Campus Pilani 333031 Rajasthan India
| | | |
Collapse
|
10
|
Novel pyrazine based anti-tubercular agents: Design, synthesis, biological evaluation and in silico studies. Bioorg Chem 2020; 96:103610. [DOI: 10.1016/j.bioorg.2020.103610] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Revised: 12/02/2019] [Accepted: 01/20/2020] [Indexed: 12/31/2022]
|
11
|
Design, synthesis and molecular modeling studies on novel moxifloxacin derivatives as potential antibacterial and antituberculosis agents. Bioorg Chem 2019; 88:102965. [DOI: 10.1016/j.bioorg.2019.102965] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Revised: 04/27/2019] [Accepted: 04/29/2019] [Indexed: 12/30/2022]
|
12
|
Aher RB, Roy K. Computational Approaches as Rational Decision Support Systems for Discovering Next-Generation Antitubercular Agents: Mini-Review. Curr Comput Aided Drug Des 2019; 15:369-383. [PMID: 30706823 DOI: 10.2174/1573409915666190130153214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 12/19/2018] [Accepted: 01/09/2019] [Indexed: 12/15/2022]
Abstract
Tuberculosis, malaria, dengue, chikungunya, leishmaniasis etc. are a large group of neglected tropical diseases that prevail in tropical and subtropical countries, affecting one billion people every year. Minimal funding and grants for research on these scientific problems challenge many researchers to find a different way to reduce the extensive time and cost involved in the drug discovery cycle of these problems. Computer-aided drug design techniques have already been proved successful in the discovery of new molecules rationally by reducing the time and cost involved in the development of drugs. In the current minireview, we are highlighting on the molecular modeling studies published during 2010-2018 for target specific antitubercular agents. This review includes the studies of Structure-Based (SB) and Ligand-Based (LB) modeling and those involving Machine Learning (ML) techniques against different antitubercular targets such as dihydrofolate reductase (DHFR), enoyl Acyl Carrier Protein (ACP) reductase (InhA), catalase-peroxidase (KatG), enzyme antigen 85C, protein tyrosine phosphatases (PtpA and PtpB), dUTPase, thioredoxin reductase (MtTrxR), etc. The information presented in this review will help the researchers to get acquainted with the recent progress in the modeling studies of antitubercular agents.
Collapse
Affiliation(s)
- Rahul Balasaheb Aher
- Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India
| | - Kunal Roy
- Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India
| |
Collapse
|
13
|
Saxena S, Durgam L, Guruprasad L. Multiple e-pharmacophore modelling pooled with high-throughput virtual screening, docking and molecular dynamics simulations to discover potential inhibitors of Plasmodium falciparum lactate dehydrogenase (PfLDH). J Biomol Struct Dyn 2018; 37:1783-1799. [DOI: 10.1080/07391102.2018.1471417] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Shalini Saxena
- School of Chemistry, University of Hyderabad , Hyderabad, India
| | - Laxman Durgam
- School of Chemistry, University of Hyderabad , Hyderabad, India
| | | |
Collapse
|
14
|
Saxena S, Abdullah M, Sriram D, Guruprasad L. Discovery of novel inhibitors of Mycobacterium tuberculosis MurG: homology modelling, structure based pharmacophore, molecular docking, and molecular dynamics simulations. J Biomol Struct Dyn 2017; 36:3184-3198. [PMID: 28948866 DOI: 10.1080/07391102.2017.1384398] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
MurG (Rv2153c) is a key player in the biosynthesis of the peptidoglycan layer in Mycobacterium tuberculosis (Mtb). This work is an attempt to highlight the structural and functional relationship of Mtb MurG, the three-dimensional (3D) structure of protein was constructed by homology modelling using Discovery Studio 3.5 software. The quality and consistency of generated model was assessed by PROCHECK, ProSA and ERRAT. Later, the model was optimized by molecular dynamics (MD) simulations and the optimized model complex with substrate Uridine-diphosphate-N-acetylglucosamine (UD1) facilitated us to employ structure-based virtual screening approach to obtain new hits from Asinex database using energy-optimized pharmacophore modelling (e-pharmacophore). The pharmacophore model was validated using enrichment calculations, and finally, validated model was employed for high-throughput virtual screening and molecular docking to identify novel Mtb MurG inhibitors. This study led to the identification of 10 potential compounds with good fitness, docking score, which make important interactions with the protein active site. The 25 ns MD simulations of three potential lead compounds with protein confirmed that the structure was stable and make several non-bonding interactions with amino acids, such as Leu290, Met310 and Asn167. Hence, we concluded that the identified compounds may act as new leads for the design of Mtb MurG inhibitors.
Collapse
Affiliation(s)
- Shalini Saxena
- a School of Chemistry , University of Hyderabad , Hyderabad 500046 , India
| | - Maaged Abdullah
- a School of Chemistry , University of Hyderabad , Hyderabad 500046 , India
| | - Dharmarajan Sriram
- b Computer Aided Drug Design Laboratory, Department of Pharmacy , Birla Institute of Technology & Science-Pilani, Hyderabad Campus , Hyderabad 500078 , India
| | - Lalitha Guruprasad
- a School of Chemistry , University of Hyderabad , Hyderabad 500046 , India
| |
Collapse
|