Applications of molecular dynamics simulations in drug discovery

S AlRawashdeh, KH Barakat - Computational Drug Discovery and Design, 2023 - Springer
In the current drug development process, molecular dynamics (MD) simulations have proven
to be very useful. This chapter provides an overview of the current applications of MD …

Assessing the potential contribution of in silico studies in discovering drug candidates that interact with various SARS-CoV-2 receptors

AGA Mushebenge, SC Ugbaja, NA Mbatha… - International Journal of …, 2023 - mdpi.com
The COVID-19 pandemic has spurred intense research efforts to identify effective treatments
for SARS-CoV-2. In silico studies have emerged as a powerful tool in the drug discovery …

Potential use of tea tree oil as a disinfectant agent against coronaviruses: a combined experimental and simulation study

A Romeo, F Iacovelli, C Scagnolari, M Scordio… - Molecules, 2022 - mdpi.com
The COVID-19 pandemic has highlighted the relevance of proper disinfection procedures
and renewed interest in develo** novel disinfectant materials as a preventive strategy to …

Investigating the mechanisms of antibody binding to alpha-synuclein for the treatment of Parkinson's Disease

MC Harrison, PK Lai - Molecular Pharmaceutics, 2024 - ACS Publications
Parkinson's disease (PD) is an idiopathic neurodegenerative disorder with the second-
highest prevalence rate behind Alzheimer's disease. The pathophysiological hallmarks of …

Molecular simulations and drug discovery of adenosine receptors

J Wang, A Bhattarai, HN Do, S Akhter, Y Miao - Molecules, 2022 - mdpi.com
G protein-coupled receptors (GPCRs) represent the largest family of human membrane
proteins. Four subtypes of adenosine receptors (ARs), the A1AR, A2AAR, A2BAR and …

[HTML][HTML] Insights into the Interaction Mechanisms of Peptide and Non-Peptide Inhibitors with MDM2 Using Gaussian-Accelerated Molecular Dynamics Simulations and …

W Yang, J Wang, L Zhao, J Chen - Molecules, 2024 - mdpi.com
Inhibiting MDM2-p53 interaction is considered an efficient mode of cancer treatment. In our
current study, Gaussian-accelerated molecular dynamics (GaMD), deep learning (DL), and …

[HTML][HTML] Computational insights into the mechanisms underlying structural destabilization and recovery in trafficking-deficient hERG mutants

S AlRawashdeh, FES Mosa… - Frontiers in Molecular …, 2024 - frontiersin.org
Cardiovascular diseases are a major global health concern, responsible for a significant
number of deaths each year, often linked to cardiac arrhythmias resulting from dysfunction in …

[HTML][HTML] Molecular simulations reveal intricate coupling between agonist-bound β-adrenergic receptors and G protein

Y Han, JRD Dawson, KR DeMarco, KC Rouen, K Ngo… - iScience, 2025 - cell.com
G protein-coupled receptors (GPCRs) and G proteins transmit signals from hormones and
neurotransmitters across cell membranes, initiating downstream signaling and modulating …

Ligand Gaussian accelerated molecular dynamics 2 (LiGaMD2): Improved calculations of ligand binding thermodynamics and kinetics with closed protein pocket

J Wang, Y Miao - Journal of chemical theory and computation, 2023 - ACS Publications
Ligand binding thermodynamics and kinetics are critical parameters for drug design.
However, it has proven challenging to efficiently predict ligand binding thermodynamics and …

Study on the Mechanism of Interaction between Dipeptidyl Peptidase 4 and Inhibitory Peptides Based on Gaussian Accelerated Molecular Dynamic Simulation

Y Liu, W Zhao, Y Jiang, S **ng, W Li - International Journal of Molecular …, 2024 - mdpi.com
Dipeptidyl peptidase 4 (DPP4) inhibitors can effectively inhibit the activity of DPP4,
increasing the concentrations of glucagon-like peptide-1 (GLP-1) and glucose-dependent …