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Alsieni M, Esmat A, Bazuhair MA, Altayb HN. Fragment-based drug design of novel inhibitors targeting lipoprotein (a) kringle domain KIV-10-mediated cardiovascular disease. J Bioenerg Biomembr 2024; 56:247-259. [PMID: 38483739 DOI: 10.1007/s10863-024-10013-2] [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: 01/10/2024] [Accepted: 03/11/2024] [Indexed: 05/24/2024]
Abstract
Cardiovascular diseases (CVDs) are the leading cause of death globally, attributed to a complex etiology involving metabolic, genetic, and protein-related factors. Lipoprotein(a) (Lp(a)), identified as a genetic risk factor, exhibits elevated levels linked to an increased risk of cardiovascular diseases. The lipoprotein(a) kringle domains have recently been identified as a potential target for the treatment of CVDs, in this study we utilized a fragment-based drug design approach to design a novel, potent, and safe inhibitor for lipoprotein(a) kringle domain. With the use of fragment library (61,600 fragments) screening, combined with analyses such as MM/GBSA, molecular dynamics simulation (MD), and principal component analysis, we successfully identified molecules effective against the kringle domains of Lipoprotein(a). The hybridization process (Breed) of the best fragments generated a novel 249 hybrid molecules, among them 77 exhibiting superior binding affinity (≤ -7 kcal/mol) compared to control AZ-02 (-6.9 kcal/mol), Importantly, the top ten molecules displayed high similarity to the control AZ-02. Among the top ten molecules, BR1 exhibited the best docking energy (-11.85 kcal/mol ), and higher stability within the protein LBS site, demonstrating the capability to counteract the pathophysiological effects of lipoprotein(a) [Lp(a)]. Additionally, principal component analysis (PCA) highlighted a similar trend of motion during the binding of BR1 and the control compound (AZ-02), limiting protein mobility and reducing conformational space. Moreover, ADMET analysis indicated favorable drug-like properties, with BR1 showing minimal violations of Lipinski's rules. Overall, the identified compounds hold promise as potential therapeutics, addressing a critical need in cardiovascular medicine. Further preclinical and clinical evaluations are needed to validate their efficacy and safety, potentially ushering in a new era of targeted therapies for CVDs.
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Affiliation(s)
- Mohammed Alsieni
- Department of Clinical Pharmacology Faculty of Medicine, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Ahmed Esmat
- Department of Clinical Pharmacology Faculty of Medicine, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Mohammed A Bazuhair
- Department of Clinical Pharmacology Faculty of Medicine, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
- Centre of Research Excellence for Drug Research and Pharmaceutical Industries, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Hisham N Altayb
- Department of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah, 23589, Saudi Arabia.
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Sharma P, Moustafa M, Al-Shehri M, Alotaibi F, Bhardwaj R, Singh IK. A simulation-based approach to target Zika virus RNA-dependent RNA polymerase with marine compounds for antiviral development. J Biomol Struct Dyn 2024:1-11. [PMID: 38415996 DOI: 10.1080/07391102.2024.2322620] [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: 12/15/2023] [Accepted: 02/16/2024] [Indexed: 02/29/2024]
Abstract
Despite significant efforts, currently, there is no particular drug available to treat Zika virus (ZIKV) infection, highlighting the urgent need for effective therapeutic interventions. To identify putative inhibitors of the ZIKV RdRp protein's RNA binding function, the present study applied an extensive in-silico drug discovery methodology. The initial phase involved virtual screening using Lipinski's rule of five as a filter, ensuring the selection of molecules with favorable pharmacokinetic properties. This process yielded 238 compounds with promising docking scores, ranging from -6.0 to -7.48 kcal/mol, indicative of their potential binding affinity to the ZIKV RdRp. To refine the selection, these compounds underwent a re-docking process, comparing their binding energies with a reference molecule known for its inhibitory action against RdRp. Remarkably, five compounds, labeled CMNPD30598, CMNPD27464, CMNPD25971, CMNPD27444, and CMNPD16599, demonstrated superior re-docking energies compared to the reference, suggesting a stronger interaction with the RdRp allosteric site. Subsequent molecular dynamics (MD) simulations provided insights into the stability of these complexes over time, reinforcing their potential as RdRp inhibitors. Additionally, the calculation of free binding energies and principal component analysis (PCA) of the free energy landscape offered a deeper understanding of the binding dynamics and energetics. This study not only highlights the utility of marine fungi compounds in antiviral drug discovery but also showcases the power of computational tools in identifying novel therapeutics. The identified compounds represent promising candidates for further experimental validation and development as ZIKV RdRp inhibitors.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Pradeep Sharma
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Mahmoud Moustafa
- Department of Biology, Faculty of Science, King Khalid University, Abha, Saudi Arabia
| | - Mohammed Al-Shehri
- Department of Biology, Faculty of Science, King Khalid University, Abha, Saudi Arabia
| | - Faisal Alotaibi
- Department of Pharmacy Practice, College of Pharmacy, Shaqra University, Shaqraa, Saudi Arabia
| | - Rima Bhardwaj
- Department of Chemistry, Poona College, Savitribai Phule Pune University, Pune, India
| | - Indrakant K Singh
- Molecular Biology Research Lab, Department of Zoology, Deshbandhu College, University of Delhi, Delhi, India
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Rabaan AA, Almansour ZH, Al Bshabshe A, Halwani MA, Al-Subaie MF, Al Kaabi NA, Alshamrani SA, Alshehri AA, Nahari MH, Alqahtani AS, Alhajri M, Alissa M. Application of temperature-dependent and steered molecular dynamics simulation to screen anti-dengue compounds against Marburg virus. J Biomol Struct Dyn 2024:1-20. [PMID: 38234048 DOI: 10.1080/07391102.2024.2303386] [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: 06/20/2023] [Accepted: 01/03/2024] [Indexed: 01/19/2024]
Abstract
Marburg virus infections are extremely fatal with a fatality range of 23% to 90%, therefore there is an urgent requirement to design and develop efficient therapeutic molecules. Here, a comprehensive temperature-dependent molecular dynamics (MD) simulation method was implemented to identify the potential molecule from the anti-dengue compound library that can inhibit the function of the VP24 protein of Marburg. Virtual high throughput screening identified five effective binders of VP24 after screening 484 anti-dengue compounds. These compounds were treated in MD simulation at four different temperatures: 300, 340, 380, and 420 K. Higher temperatures showed dissociation of hit compounds from the protein. Further, triplicates of 100 ns MD simulation were conducted which showed that compounds ID = 118717693, and ID = 5361 showed strong stability with the protein molecule. These compounds were further validated using Δ G binding free energies and they showed: -30.38 kcal/mol, and -67.83 kcal/mol binding free energies, respectively. Later, these two compounds were used in steered MD simulation to detect its dissociation. Compound ID = 5361 showed the maximum pulling force of 199.02 kcal/mol/nm to dissociate the protein-ligand complex while ID = 118717693 had a pulling force of 101.11 kcal/mol/nm, respectively. This ligand highest number of hydrogen bonds with varying occupancies at 89.93%, 69.80%, 57.93%, 52.33%, and 50.63%. This study showed that ID = 5361 can bind with the VP24 strongly and has the potential to inhibit its function which can be validated in the in-vitro experiment.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Ali A Rabaan
- Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
- Department of Public Health and Nutrition, The University of Haripur, Haripur, Pakistan
| | - Zainab H Almansour
- Biological Science Department, College of Science, King Faisal University, Hofuf, Saudi Arabia
| | - Ali Al Bshabshe
- Adult critical care Department of Medicine, Division of adult critical care, College of Medicine, King Khalid University, Abha, Saudi Arabia
| | - Muhammad A Halwani
- Department of Medical Microbiology, Faculty of Medicine, Al Baha University, Saudi Arabia
| | - Maha F Al-Subaie
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
- Research Center, Dr. Sulaiman Alhabib Medical Group, Riyadh, Saudi Arabia
| | - Nawal A Al Kaabi
- College of Medicine and Health Science, Khalifa University, Abu Dhabi, United Arab Emirates
- Sheikh Khalifa Medical City, Abu Dhabi Health Services Company (SEHA), Abu Dhabi, United Arab Emirates
| | - Saleh A Alshamrani
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia
| | - Ahmad A Alshehri
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia
| | - Mohammed H Nahari
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia
| | - Ali S Alqahtani
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
| | - Mashael Alhajri
- Department of Internal Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Mohammed Alissa
- Department of Medical Laboratory, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia
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Bajrai LH, Alandijany TA, Alsaady I, El-Daly MM, Tolah AM, Khateb AM, Dubey A, Dwivedi VD, Azhar EI. Assessing the inhibitory potential of anti-dengue compounds against Japanese encephalitis virus RNA dependent RNA polymerase: an in silico study. J Biomol Struct Dyn 2023:1-17. [PMID: 37811742 DOI: 10.1080/07391102.2023.2265489] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 09/24/2023] [Indexed: 10/10/2023]
Abstract
Japanese encephalitis (JE), a neurological infection of severe nature, is caused by the Japanese encephalitis virus (JEV) and is transmitted by the mosquito vector. The polymerase domain of Non-structural 5 (NS5), which is also referred to as RdRp (RNA-dependent RNA polymerase), is considered a potential therapeutic target for JEV. The present study employed molecular dynamics modelling and high-throughput virtual screening to evaluate the possible antiviral activity of anti-dengue drugs against JEV RdRp. Furthermore, a ranking was performed utilising the MM/GBSA analysis to identify the three most promising compounds. Compound ID 57409246 exhibited the highest binding affinity with the protein, as evidenced by its minimum binding free energy of -72.96 kcal/mole. In contrast, the other two compounds had minimum binding free energies of -67.57 and -59.19 kcal/mole, respectively. Upon conducting a 100 nanosecond molecular dynamics simulation to confirm the binding of the chemical complexes, it was observed that the three hits, namely 57409246, 70683874, and 44577154, exhibited a consistent and stable RMSD. Subsequently, the binding strength of the trajectory was confirmed through MM/GBSA analysis. The compounds 70683874 and 57409246 exhibited the lowest binding free energies, which were -97.58 kcal/mol and -96.38 kcal/mol, respectively. The binding free energy (ΔG Bind) values for the native ligand ATP and molecule 44577154 were -65.64 kcal/mol and -69.44 kcal/mol, respectively. Overall, compared to the native ligand ATP, all three compounds exhibited higher binding affinity. The study proposes three anti-dengue molecules as a potential remedy for JE, which can be confirmed through in vitro and in vivo investigations.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Leena H Bajrai
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
- Biochemistry Department, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Thamir A Alandijany
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Isra Alsaady
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mai M El-Daly
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Ahmed M Tolah
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Rabig, Saudi Arabia
| | - Aiah M Khateb
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Laboratory Technology, College of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia
| | - Amit Dubey
- Computational Chemistry & Drug Discovery Division, Quanta Calculus, Greater Noida, India
| | - Vivek Dhar Dwivedi
- Bioinformatics Research Division, Quanta Calculus, Greater Noida, India
- Center for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Medical College and Hospitals, Saveetha University, Chennai, Tamil Nadu, India
| | - Esam I Azhar
- Special Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
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