Targeting Epidermal Growth Factor Receptor (EGFR) Kinase variants with Pyrazole Derivatives: A Comparative Molecular Docking Study

 

Rashmi T, Vinutha S*

Department of Pharmaceutical Chemistry, Bharathi College of Pharmacy,

Bharathinagara, Mandya 571422 Karnataka, India.

*Corresponding Author E-mail: vinuthaspharm@gmail.com

 

ABSTRACT:

The Epidermal Growth Factor Receptor (EGFR) plays a pivotal role in the progression of various cancers and represents a well-established target for anticancer drug development. In the present study, a series of pyrazole derivatives were evaluated for their potential inhibitory activity against five EGFR kinase receptor variants using molecular docking simulations. The selected EGFR protein structures 4HJO, 5HG7, 5XDX, 6S9B and 6Z4B were retrieved from the Protein Data Bank and subjected to comparative docking analysis using AutoDock Vina. Among the tested receptors, 4HJO exhibited the most favourable binding affinities, with binding energies ranging from -10.9 to -9.7kcal/mol, and showed 1-2 hydrogen bonds with key amino acid residues. 5HG7 displayed binding energies between -10.1 to -8.9kcal/mol, also forming 1-2 hydrogen bonds. The docking scores for 5XDX ranged from -8.7 to -7.6kcal/mol, accompanied by 2-3 hydrogen bonds, while 6S9B demonstrated moderate binding energies from -9.1 to -8.2kcal/mol, with 2-3 hydrogen bonds. Notably, 6Z4B exhibited binding energies between -9.5 to -8.6kcal/mol, and formed 4-5 hydrogen bonds, indicating strong hydrogen bonding potential. The comparative analysis suggests that the binding efficiency and interaction profiles of pyrazole derivatives vary significantly across EGFR isoforms, with 4HJO and 6Z4B showing particularly promising results. These findings provide valuable insights into the structural preferences of EGFR-ligand interactions and support the further development of pyrazole-based compounds as potential EGFR-targeted anticancer agents.

 

KEYWORDS: EGFR kinase inhibitors, Pyrazole, Molecular docking, 4HJO, 5HG7, 5XDX, 6S9B and 6Z4B.

 

 


INTRODUCTION:

The Epidermal Growth Factor Receptor (EGFR) is a membrane-bound tyrosine kinase that plays a pivotal role in regulating cellular growth, survival, proliferation and differentiation1. EGFR belongs to the ErbB family of receptors and upon activation, triggers several downstream signaling pathways, including RAS-RAF-MEK-ERK and PI3K-AKT, which are frequently dysregulated in various malignancies2.

 

Aberrant EGFR signaling, caused by gene amplification, receptor overexpression or activating mutations has been strongly associated with the pathogenesis and poor prognosis of multiple cancers notably non-small cell lung cancer (NSCLC), breast cancer and glioblastoma3,4. Consequently, EGFR has emerged as a validated molecular target in oncology and its inhibition has led to the development of both small molecule tyrosine kinase inhibitors (TKIs) and monoclonal antibodies5.

 

Despite the success of approved EGFR inhibitors such as gefitinib, erlotinib and osimertinib, several limitations persist including acquired resistance, limited isoform specificity and adverse effects6. These challenges underscore the need for new classes of EGFR inhibitors with enhanced potency, selectivity and resistance-overcoming potential7. Pyrazole derivatives represent a versatile scaffold in medicinal chemistry and have shown promising pharmacological properties, including kinase inhibition, anticancer, anti-inflammatory and antimicrobial activities8. The structural flexibility and heteroaromatic nature of pyrazole enable effective interactions with kinase ATP-binding sites making them suitable candidates for EGFR inhibition9.

 

This study aims to evaluate a series of synthetically derived pyrazole compounds for their inhibitory potential against multiple EGFR kinase variants through molecular docking analysis10. Five EGFR kinase domain structures PDB IDs: 4HJO11, 5HG712, 5XDX13, 6S9B14 and 6Z4B15 were selected to represent diverse conformational states and resistance-related mutations. Using AutoDock Vina, we conducted a comparative docking study to assess binding energies, hydrogen bond interactions, and binding site preferences across these EGFR structures.

 

By comparing the molecular interactions of pyrazole derivatives with multiple EGFR isoforms, this research seeks to identify structure-activity relationships (SAR) that could inform the future design of more selective and potent EGFR inhibitors. The insights gained from this in silico study may contribute to the development of next-generation anticancer agents targeting EGFR-driven tumors, particularly those unresponsive to current therapies.

 

MATERIALS AND METHODS:

Protein and ligand preparation

The crystal structures of mutant EGFR kinase proteins with PDB IDs 4HJO, 5HG7, 5XDX, 6S9B, and 6Z4B were retrieved from the RCSB Protein Data Bank (https://www.rcsb.org)16. All docking studies were conducted using the monomeric forms of these crystal structures. The AMP-PNP or co-crystallized ligands were removed to prepare a clean and accessible docking site17. Protein structures were prepared using AutoDock Tools v1.5.7 (Scripps Research Institute, La Jolla, USA). This included deletion of water molecules and addition of polar hydrogens to facilitate hydrogen bond formation. Kollman and Gasteiger charges were applied to accurately represent molecular electrostatics. Kollman charges were derived using quantum mechanical methods, whereas Gasteiger charges were computed using electronegativity equilibration algorithms18.

 

A total of 24 pyrazole derivatives were designed using ChemSketch. The structures were converted from SMILES notation to 3D conformers, followed by geometry optimization using Avogadro with the Universal Force Field (UFF). The optimized structures were saved in PDB format, then converted to PDBQT format using AutoDock Tools for compatibility with AutoDock Vina19. In addition, reference ligands ATP and Gefitinib were obtained from PubChem in SDF format and similarly prepared for docking. All prepared ligands and receptors were visually validated using PyMOL to ensure proper structural integrity before docking20.

 

Table no 1: The designed pyrazole analogues

 

 

Sl No

Ligand

R1

R2

1

Compound F1

H

H

2

Compound F2

p-Cl

H

3

Compound F3

2,4-NO2

H

4

Compound F4

o-NO2

H

5

Compound F5

H

o-OH

6

Compound F6

p-Cl

o-OH

7

Compound F7

2,4-NO2

o-OH

8

Compound F8

o-NO2

o-OH

9

Compound F9

H

p-OH

10

Compound F10

p-Cl

p-OH

11

Compound F11

2,4-NO2

p-OH

12

Compound F12

o-NO2

p-OH

13

Compound F13

H

m-OH

14

Compound F14

p-Cl

m-OH

15

Compound F15

2,4-NO2

m-OH

16

Compound F16

o-NO2

m-OH

17

Compound F17

H

o-OCH3

18

Compound F18

p-Cl

o-OCH3

19

Compound F19

2,4-NO2

o-OCH3

20

Compound F20

o-NO2

o-OCH3

21

Compound F21

H

p-OCH3

22

Compound F22

p-Cl

p-OCH3

23

Compound F23

2,4-NO2

p-OCH3

24

Compound F24

o-NO2

p-OCH3

 

Molecular docking:

Molecular docking simulations were executed using AutoDock Vina version 1.2.3 (The Scripps Research Institute, La Jolla, San Diego, USA). Discovery Studio Biovia 2021 (Dassault Systemes, San Diego, California, USA) was utilized for visualizing and refining both protein and ligand structures. All 24 pyrazole derivatives, along with reference ligands ATP and Gefitinib, were docked into the predicted active sites of the selected EGFR variants. Docking results for 4HJO, 5HG7, 5XDX, 6S9B, and 6Z4B were superimposed with ATP and Gefitinib to validate binding site alignment and ligand positioning.

 

The docking grid was defined using AutoDock Tools, ensuring the active site residues were encompassed within the grid box. The grid dimensions and centers were as follows: for 4HJO at 2.75 Å, grid size was 77 × 114 × 84 with center at 56.8621 × 119.2636 × 73.683; 5HG7 at 1.85 Å, grid size 35 × 70 × 112 centered at 47.465 × 65.755 × 54.450; 5XDX at 1.99 Å, 183 × 205 × 177, center 105.11 × 64.890 × 54.853; 6S9B at 3.25 Å, 144 × 144 × 144, center 111.534 × 74.8681 × 74.301; and 6Z4B at 2.50 Å, 76 × 79 × 89, center 65.527 × 51.640 × 61.739.

 

Docking was performed using AutoDock Vina, which calculated binding affinities (kcal/mol) and ranked the resulting poses based on interaction strength. The best poses were selected, and protein–ligand complexes were further analyzed using Discovery Studio Visualizer to identify key hydrogen bonding and hydrophobic interactions.

 

RESULT AND DISCUSSION:

Molecular docking of 24 designed pyrazole derivatives (F1-F24) against five EGFR kinase domains (PDB IDs: 4HJO, 5HG7, 5XDX, 6S9B and 6Z4B) was performed using AutoDock Vina to evaluate their binding affinities and interaction profiles compared with reference ligands ATP and Gefitinib. Across all EGFR variants, most pyrazole derivatives displayed significant binding energies ranging from -7.1 to -10.9kcal/mol, comparable to or exceeding that of ATP and approaching the affinities shown by Gefitinib.

 

Compounds F3, F4, F6, F11, F15, F18 and F22 exhibited consistently strong binding, forming multiple hydrogen bonds with key catalytic residues such as Met793, Cys797, Asp855, Arg841 and Asn842, which are critical for EGFR inhibition. Notably, compound F4 showed the highest affinity towards 4HJO with -10.9 kcal/mol, closely followed by F8 and F16, indicating strong stabilization within the ATP-binding pocket. Similarly, F11 and F18 formed up to 5 hydrogen bonds in 6Z4B and 6S9B structures, suggesting favorable interactions even with resistant EGFR conformations.

 

Electron-withdrawing substituents such as nitro (-NO₂) and chloro (-Cl) at ortho or para positions (e.g., F3, F7, F11, F18, F23) generally enhanced binding due to increased hydrogen bonding and π-π stacking interactions, whereas some derivatives with only unsubstituted phenyl rings displayed lower affinities. Furthermore, compounds bearing dual substituents (e.g., -Cl/-OH, -NO₂/-OCH₃) exhibited improved binding energies and stability across multiple EGFR variants, highlighting a preliminary structure–activity relationship favouring electron-withdrawing and hydrogen bond-donating groups.

 

In summary, the docking analysis revealed several pyrazole derivatives with promising EGFR inhibitory potential. Compounds F4, F11, F15 and F18 emerged as lead candidates based on their high binding affinities and multiple key interactions with active-site residues. These findings suggest that further optimization and synthesis of these derivatives could yield potent EGFR-targeted anticancer agents.

 

The variation in binding energies across EGFR variants reflects the influence of conformational diversity and active site flexibility. These findings support the potential of pyrazole derivatives as EGFR inhibitors, particularly for 4HJO and 6Z4B targets. The docking outcomes provide structural insights for optimizing lead compounds and lay the groundwork for further in-vitro and in-vivo validation

 

 

Figure no 1: Graphical representation of average binding affinities and hydrogen bond counts of pyrazole derivatives against EGFR receptor variants (PDB IDs: 4HJO, 5HG7, 5XDX, 6S9B and 6Z4B)


 

Table no 2: Binding energies and Hydrogen bond interaction of pyrazole derivatives with five EGFR Kinase variants

Sl. No

Code

4HJO

5HG7

5XDX

6S9B

6Z4B

B E

H B

Amino acids

B E

H B

Amino acids

B E

H B

Amino acids

B E

H B

Amino acids

B E

H B

Amino

acids

1

F1

-10.1

1H

Met769

-10.0

-

-

-7.9

1H

Glu762

-9.0

2H

Asp855

Cys797

-9.4

-

-

2

F2

-10.1

1H

Met769

-10.0

-

-

-8.0

-

-

-9.0

2H

Cys797

Asp855

-9.3

2H

Ser720

Thr854

3

F3

-10.5

2H

Met769

Thr766

-9.6

1H

Cys797

-8.4

1H

Cys797

-8.7

3H

Cys797

Asp855

Arg841

-9.3

5H

Asn842

Ala722

Arg841

Met790

Asp855

4

F4

10.9

2H

Met769

Thr766

-9.6

1H

Cys797

-8.4

-

-

-8.8

2H

Glu762

Met793

-8.9

4H

Met790

Asp855

Ala722

Asn842

5

F5

-9.9

1H

Met769

-9.3

1H

Ser720

-7.9

1H

Gly719

-8.8

3H

Gln791

Asn842

Asp855

-9.5

1H

Met793

6

F6

-10.0

1H

Met769

-9.5

-

-

-8.0

1H

Gly724

-8.9

3H

Gln791

Asn842

Asp855

-8.7

1H

Cys797

7

F7

-10.6

2H

Met769

Thr766

-9.0

4H

Cys797

Arg841

Met7934

Asn842

-8.7

2H

Met793

Asp855

-8.9

3H

Glu762

Asp855

Met793

-9.3

5H

Arg841

Ala722

Asn842

Asp855

Met790

8

F8

-10.7

2H

Met769

Thr766

-8.9

2H

Asp800

Ser720

-8.4

1H

Gly724

-8.9

3H

Glu762

Asp855

Met793

-9.5

2H

Met793

Leu788

9

F9

-9.9

1H

Met769

-9.9

-

-

-8.0

-

-

-9.0

3H

Cys797

Asp855

Met793

-9.0

-

-

10

F10

-10.2

2H

Met769

Asp831

-10.0

1H

Asn842

-8.0

-

-

-9.1

2H

Cys797

Asp855

-8.8

2H

Asp855

Met790

11

F11

-10.4

2H

Met769

Thr766

-9.6

1H

Cys797

-8.4

-

-

-8.4

1H

Met793

-9.3

4H

Met790

Asp855

Arg841

Ala722

12

F12

-10.7

2H

Met769

Thr766

-9.4

1H

Cys797

-8.1

-

-

-8.4

2H

Gln791

Met793

-9.0

4H

Met793

Asn842

Ala722

Asp855

13

F13

-9.9

1H

Met769

-9.8

 

 

-7.9

-

-

-9.0

3H

Asp855

Cys797

Met793

-9.4

-

-

14

F14

-10.3

2H

Met769

Asp831

-10.0

 

 

-8.1

2H

Arg841

Asn842

-9.1

2H

Asp855

Cys797

-9.3

3H

Ser720

Thr854

Lys745

15

F15

-10.3

2H

Met769

Thr766

-9.4

1H

Cys797

-8.3

1H

Cys797

-8.7

3H

Asp855

Arg841

Cys797

-9.1

5H

Asp855

Met790

Ala722

Asn842

Arg841

16

F16

-10.8

2H

Met769

Thr766

-9.0

2H

Cys797

Asn842

-8.0

1H

Cys797

-8.5

4H

Asp855

Asn842

Met793

Arg841

-9.2

4H

Lys745

Ser720

Cys797

Thr854

17

F17

-9.7

1H

Met769

-9.9

-

-

-7.6

-

-

-8.8

2H

Asp855

Cys797

-9.4

1H

Met793

18

F18

-10.0

1H

Met769

-10.0

-

-

-7.9

-

-

-8.9

2H

Asp855

Cys797

-8.7

-

-

19

F19

-10.5

2H

Met769

Thr766

-9.7

1H

Cys797

-8.2

1H

Cys797

-8.4

3H

Cys797

Arg841

Asp855

-9.1

5H

Met790

Asp855

Ala722

Arg841

Asn842

20

F20

-10.6

2H

Met769

Thr766

-9.6

1H

Cys797

-8.1

-

-

-8.4

-

-

-9.2

1H

Lys745

21

F21

-9.9

1H

Met769

-9.9

-

-

-7.9

1H

Glu762

-8.4

-

-

-9.2

1H

Cys797

22

F22

-10.0

2H

Met769

Asp831

-10.1

-

-

-8.0

-

-

-8.7

2H

Asp855

Met793

-9.1

-

-

23

F23

-10.5

2H

Met769

Thr766

-9.6

1H

Cys797

-8.5

-

-

-8.5

4H

Asp855

Asn842

Arg841

Met793

-9.1

5H

Met790

Asp855

Arg841

Asn842

Ala722

24

F24

-10.6

2H

Met769

Thr766

-9.6

1H

Cys797

-8.4

-

-

-8.2

1H

Met793

-8.6

3H

Asp855

Ala722

Asn842

25

ATP

-7.7

5H

Gly700

Phe699

Arg817

Asn818

Asp831

-7.2

2H

Asn842

Met793

-6.4

3H

Ala698

Asn700

Pro699

-6.4

2H

Phe723

Glu746

-7.1

4H

Ala722

Asn842

Ser720

Met793

26

Gefitinib

-9.2

1H

Lys721

-8.1

3H

Asp800

Leu718

Arg841

-7.1

1H

Glu762

-8.0

2H

Asn842

Asp855

-8.2

1H

Leu718

 


 


  

Figure no 2:  2D and 3D Structure of Compound F1 with PDB ID: 4HJO

   

Figure no 3:  2D and 3D Structure of Compound F12 with PDB ID: 4HJO

  

Figure no 4:  2D and 3D Structure of Compound F16 with PDB ID: 4HJO

   

Figure no 5:  2D and 3D Structure of Compound F3 with PDB ID: 6Z4B

 

 

Figure no 6:  2D and 3D Structure of Compound F7 with PDB ID: 6Z4B

 

Figure no 7:  2D and 3D Structure of Compound F15 with PDB ID: 6Z4B


 


CONCLUSION:

This study presents a comparative molecular docking analysis of pyrazole derivatives against five EGFR kinase variants (4HJO, 5HG7, 5XDX, 6S9B, and 6Z4B), highlighting significant differences in binding affinities and interaction profiles. Among these, 4HJO exhibited the strongest binding affinity (-10.9 kcal/mol), while 6Z4B formed the highest number of hydrogen bonds (4-5), suggesting strong polar interactions. The results demonstrate that receptor conformation significantly influences ligand binding. Pyrazole derivatives show promise as potential EGFR inhibitors, particularly for resistant or mutant forms. These findings support further lead optimization and biological evaluation to validate their anticancer potential against EGFR-driven malignancies.

 

CONFLICT OF INTEREST:

The authors have no conflicts of interest regarding this investigation.

 

ACKNOWLEDGMENTS:

The authors express their sincere gratitude to the Department of Pharmaceutical Chemistry, Bharathi College of Pharmacy, Bharathinagara for providing the necessary infrastructure and computational facilities to carry out this research.

 

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Received on 29.05.2025      Revised on 17.09.2025

Accepted on 22.11.2025      Published on 05.06.2026

Available online from June 06, 2026

Research J. Pharmacy and Technology. 2026;19(6):2621-2628.

DOI: 10.52711/0974-360X.2026.00375

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