Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders

Author:

Iqbal Danish1ORCID,Alsaweed Mohammed2ORCID,Jamal Qazi Mohammad Sajid3ORCID,Asad Mohammad Rehan4,Rizvi Syed Mohd Danish5ORCID,Rizvi Moattar Raza6,Albadrani Hind Muteb7ORCID,Hamed Munerah8ORCID,Jahan Sadaf2ORCID,Alyenbaawi Hadeel2

Affiliation:

1. Department of Health Information Management, College of Applied Medical Sciences, Buraydah Private Colleges, Buraydah 51418, Saudi Arabia

2. Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia

3. Department of Health Informatics, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia

4. Department of Basic Medical Science, College of Medicine, Majmaah University, Al Majmaah 11952, Saudi Arabia

5. Department of Pharmaceutics, College of Pharmacy, University of Ha’il, Ha’il 81442, Saudi Arabia

6. School of Allied Health Sciences, Manav Rachna International Institute of Research & Studies (MRIIRS), Faridabad 121001, India

7. Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia

8. Department of Pathology, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia

Abstract

Neurodegenerative disorders, such as Alzheimer’s disease (AD), negatively affect the economic and psychological system. For AD, there is still a lack of disease-altering treatments and promising cures due to its complex pathophysiology. In this study, we computationally screened the natural database of fungal metabolites against three known therapeutic target proteins of AD. Initially, a pharmacophore-based, drug-likeness category was employed for screening, and it filtered the 14 (A–N) best hits out of 17,544 fungal metabolites. The 14 best hits were docked individually against GSK-3β, the NMDA receptor, and BACE-1 to investigate the potential of finding a multitarget inhibitor. We found that compounds B, F, and L were immuno-toxic, whereas E, H, I, and J had a higher LD50 dose (5000 mg/kg). Among the examined metabolites, the Bisacremine-C (compound I) was found to be the most active molecule against GSK-3β (ΔG: −8.7 ± 0.2 Kcal/mol, Ki: 2.4 × 106 M−1), NMDA (ΔG: −9.5 ± 0.1 Kcal/mol, Ki: 9.2 × 106 M−1), and BACE-1 (ΔG: −9.1 ± 0.2 Kcal/mol, Ki: 4.7 × 106 M−1). It showed a 25-fold higher affinity with GSK-3β, 6.3-fold higher affinity with NMDA, and 9.04-fold higher affinity with BACE-1 than their native ligands, respectively. Molecular dynamic simulation parameters, such as RMSD, RMSF, Rg, and SASA, all confirmed that the overall structures of the targeted enzymes did not change significantly after binding with Bisacremine-C, and the ligand remained inside the binding cavity in a stable conformation for most of the simulation time. The most significant hydrophobic contacts for the GSK-3β-Bisacremine-C complex are with ILE62, VAL70, ALA83, and LEU188, whereas GLN185 is significant for H-bonds. In terms of hydrophobic contacts, TYR184 and PHE246 are the most important, while SER180 is vital for H-bonds in NMDA-Bisacremine-C. THR232 is the most crucial for H-bonds in BACE-1-Bisacremine-C and ILE110-produced hydrophobic contacts. This study laid a foundation for further experimental validation and clinical trials regarding the biopotency of Bisacremine-C.

Funder

Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry

Reference82 articles.

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2. CDC (2022, January 05). Global Health—Saudi Arabia, Available online: https://www.cdc.gov/globalhealth/countries/saudi_arabia/default.htm.

3. Alzheimer’s Disease; a Review of the Pathophysiological Basis and Therapeutic Interventions;Abeysinghe;Life Sci.,2020

4. Kim, B., Noh, G.O., and Kim, K. (2021). Behavioural and Psychological Symptoms of Dementia in Patients with Alzheimer’s Disease and Family Caregiver Burden: A Path Analysis. BMC Geriatr., 21.

5. The Role of NMDA Receptors in Alzheimer’s Disease;Liu;Front. Neurosci.,2019

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