Article ; Online: Three-Dimensional-QSAR and Relative Binding Affinity Estimation of Focal Adhesion Kinase Inhibitors.
Molecules (Basel, Switzerland)
2023 Volume 28, Issue 3
Abstract: Precise binding affinity predictions are essential for structure-based drug discovery (SBDD). Focal adhesion kinase (FAK) is a member of the tyrosine kinase protein family and is overexpressed in a variety of human malignancies. Inhibition of FAK using ... ...
Abstract | Precise binding affinity predictions are essential for structure-based drug discovery (SBDD). Focal adhesion kinase (FAK) is a member of the tyrosine kinase protein family and is overexpressed in a variety of human malignancies. Inhibition of FAK using small molecules is a promising therapeutic option for several types of cancer. Here, we conducted computational modeling of FAK-targeting inhibitors using three-dimensional structure-activity relationship (3D-QSAR), molecular dynamics (MD), and hybrid topology-based free energy perturbation (FEP) methods. The structure-activity relationship (SAR) studies between the physicochemical descriptors and inhibitory activities of the chemical compounds were performed with reasonable statistical accuracy using CoMFA and CoMSIA. These are two well-known 3D-QSAR methods based on the principle of supervised machine learning (ML). Essential information regarding residue-specific binding interactions was determined using MD and MM-PB/GBSA methods. Finally, physics-based relative binding free energy (ΔΔGRBFEA→B) terms of analogous ligands were estimated using alchemical FEP simulation. An acceptable agreement was observed between the experimental and computed relative binding free energies. Overall, the results suggested that using ML and physics-based hybrid approaches could be useful in synergy for the rational optimization of accessible lead compounds with similar scaffolds targeting the FAK receptor. |
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MeSH term(s) | Humans ; Binding Sites ; Entropy ; Focal Adhesion Protein-Tyrosine Kinases/antagonists & inhibitors ; Ligands ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Protein Binding ; Quantitative Structure-Activity Relationship ; Tyrosine Kinase Inhibitors/chemistry ; Tyrosine Kinase Inhibitors/pharmacology |
Chemical Substances | Focal Adhesion Protein-Tyrosine Kinases (EC 2.7.10.2) ; Ligands ; Tyrosine Kinase Inhibitors |
Language | English |
Publishing date | 2023-02-02 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 1413402-0 |
ISSN | 1420-3049 ; 1431-5165 ; 1420-3049 |
ISSN (online) | 1420-3049 |
ISSN | 1431-5165 ; 1420-3049 |
DOI | 10.3390/molecules28031464 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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