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Abstract

The Janus kinase 3 (JAK3) pathway is essential for immunological control and inflammatory reactions, it is a viable therapeutic target for inflammatory bowel disorders (IBD), such as Crohn's disease (CD) and ulcerative colitis (UC). As possible JAK3 inhibitors, this study investigates in silico methods for designing and assessing new quinazoline derivatives. The pharmacological actions of quinazoline scaffolds are well-known, and their modification presents chances for JAK3 inhibition that is selective. After a library of quinazoline derivatives was created using computational drug design approaches, they were molecularly docked to the JAK3 crystal structure (PDB ID:5toz). The best binding properties of the derivatives were found by analyzing pharmacophore alignment, interaction patterns, and binding affinities. Additional insilico evaluations included ADMET (absorption, distribution, metabolism, excretion, and toxicity) profiling to forecast drug-like characteristics and molecular dynamics simulations to assess the stability of ligand-receptor complexes. High specificity for JAK3 and acceptable pharmacokinetic profiles were displayed by a few chosen derivatives, reducing the possibility of off-target effects.

Keywords

Quinazoline derivatives, JAK3 inhibitors, Molecular docking, In-silico drug design, Ulcerative colitis, Crohn's disease.

Introduction

Ulcerative colitis (UC) was initially identified as one of the two main types of inflammatory bowel disease (IBD). Mucosal inflammation in UC is characterized by a continuous extension of inflammation from the rectum proximally in the colon. The other form of IBD, Crohn's disease (CD), exhibits patchy lesions that may be dispersed throughout the gastrointestinal tract. While CD is characterized by transmural inflammation (including all layers of the intestinal wall) that results in fibrosis, stricture, and fistula, UC is usually limited to inflammation of the mucosal layer, causing superficial damage of the gut wall [1].

The image illustrates these conditions by showing inflamed areas in the intestines, helping to differentiate the affected regions and patterns of inflammation in both Crohn's disease and Ulcerative Colitis.

       
            Inflammation in UC and CD.png
       

Figure 1: Inflammation in UC and CD

Signs and symptoms of ulcerative colitis [2]:

People with ulcerative colitis typically experience diarrhoea and abdominal pain. They may also have additional symptoms, such as:

  • bloody diarrhoea with mucus
  • weight loss
  • fatigue
  • dehydration
  • a feeling of needing to pass stool without being able to

Some people may also show signs of a low red blood cell count (anemia) due to blood loss.

Symptoms of crohn’s diseases:

  • Diarrhoea.
  • Fever.
  • Fatigue.
  • Belly pain and cramping.
  • Blood in the stool.
  • Mouth sores.
  • Reduced appetite and weight loss.
  • Pain or drainage near or around the anus due to inflammation from a tunnel into the skin, called a fistula.

Treatment for ulcerative colitis and crohn’s diseases [3]

IBD cannot be cured, although there are a number of treatments that can help control its symptoms:
Medications: Biologics, immune system suppressors, and anti-inflammatory medications are frequently used.

Surgery: Surgical procedures may be necessary for certain patients.

Selection of target

Why JAK3 in Particular?

Selectivity for ?c Cytokines: JAK3 is more focused than JAK1 or JAK2 inhibitors, which may impact other pathways and enhance side effects, because it is mostly linked to ?c receptors.

Effects Specific to Lymphocytes: JAK3 targeting directly affects immune cell function, which is essential for reducing inflammation in IBD.

mechanism of action of JAK3[4]:

IBD overactivation:

  • Overproduction of pro-inflammatory cytokines such TNF-?, IL-6, and IL-12/23 is a sign of immune regulatory imbalance in UC and CD.
  • By improving the signalling of cytokines that encourage inflammation and T-cell activation, JAK3 intensifies this process.

Barrier dysfunction:

  • JAK3 signalling-driven inflammatory cytokines compromise intestinal epithelial integrity, increasing UC and CD symptoms.

JAK3 inhibitors in ulcerative colitis and crohn’s diseases: mechanism, role and therapeutic potential

Role of JAK inhibitors in UC and CD [5]:

  • Janus kinase is non receptor tyrosine protein kinase, including JAK1, JAK2, JAK3, and TYK2 four subtypes Janus activated kinase signal transducers and activators of transcription (JAK-STAT) has been recently identified as the intracellular signaling pathway that is tightly associated with cytokines. This pathway participates in numerous vital biological events, like cell proliferation, apoptosis, differentiation, or immunomodulation.
  • JAK1 has become a new target in the fields of immunity, inflammation and cancer, JAK2 has become an exact target in the treatment and prevention of hematological diseases, and JAK3 has become a popular target for the treatment of autoimmune diseases.
  • the JAK inhibitors attract a great deal of attention of pharmaceutical industry and there are many JAK inhibitors on the market or in clinical trials. The effectiveness of drugs developed for the JAK-STAT pathway has been confirmed.
  • Tofacitinib (Xeljanz, Pfizer) is the first-in-class JAKi licensed for the treatment of moderate to severe UC. Originally developed as a JAK3 inhibitor to prevent solid organ transplant rejection, it is now considered to be a pan-JAK inhibitor with preferential selectively for JAK1 and JAK3.
  • Ruxolitinib is a selective JAK1/JAK2 inhibitor, and the first drug approved by the FDA for the treatment of myelofibrosis.
  • Filgotinib is a 1, 2, 4-triazolo [1, 5-a] pyridine small-molecule JAK inhibitor, which enters the clinical trials to treat autoimmune disorders, such as rheumatoid arthritis, systemic lupus erythematosus, multiple sclerosis, ankylosing spondylitis, ulcerative colitis, Crohn’s disease, and psoriasis at present.

mechanism of action of JAK3 inhibitors:

JAK3 Inhibition [6]

Signal Transducer and Activator of Transcription (STAT) proteins cannot be phosphorylated or activated when JAK3 inhibitors are present because they interfere with JAK3 action.

Modulation of Immune Cell Function:

  • JAK3 inhibition reduces the recruitment and activation of immune cells, such as macrophages and dendritic cells, which contribute to the inflammatory environment in the gut.
  • It also affects B-cell maturation, limiting antibody-mediated inflammatory processes.

Pharmacophore modeling [7]

Pharmacophore modeling studies have become one of the tools in the field of drug discovery. In 1909, Paul Ehrlich introduced the concept of Pharmacophore, who defined the pharmacophore as a molecular framework that carries the essential features responsible for a drug’s biological activity. The IUPAC defines “A pharmacophore is ensemble of stearic and electronic features that is necessary to ensure the optimal supra-molecular interaction with a specific biological target and to trigger or block its biological response”.

Pharmacophore features

  1. Hydrogen bond acceptor
  2. Hydrogen bond donor
  3. Hydrophobic
  4. Hydrophobic aliphatic
  5. Hydrophobic aromatic
  6. Positive ionizable
  7. Negative ionizable
  8. Ring aromatic

Selection of scaffold

Heterocyclic ring system: Heterocyclic systems are recognized to be of great importance due to their proven utility within the field of medicinal chemistry. Heterocyclic compounds are cyclic rings of atoms that contain at least one heteroatom. The most frequent hetero-atoms are nitrogen, oxygen, and Sulphur, but heterocyclic rings including additional hetero-atoms i.e., phosphorus, iron, magnesium, selenium, etc. are also common. Heterocycles are the most important traditional division of organic chemistry, and research interest in heterocycles is increasing because of their medicinal applications [8].

Nitrogen-based heterocyclic chemistry has recently piqued the interest of medicinal chemists looking forward to the design of novel and effective medicinal compounds.  Various nitrogen-based heterocycles such as pyrroles, pyrazoles, imidazoles, triazoles, pyridine, pyrazine, pyrimidine, etc. have been reported in the scientific databases possessing multiple physiological and pharmacological properties.

Selection of quinozoline as scaffold:

  • Quinazoline can undergo a variety of synthetic alterations due to its planar and chemically stable heterocyclic structure. Functional groups included in quinazoline have the ability to mimic or interact with the natural substrates of enzymes and receptors. A variety of biological processes, such as kinases, growth factor receptors, and DNA-interactive agents, can be targeted by quinazoline derivatives. A wide range of biological activities, including anti-HIV, anticancer, antifungal, antibacterial, antimutagenic, anticoccidial, anticonvulsant, anti-inflammatory, antidepressant, antimalarial, antioxidant, antileukemic, and antileishmanial activities, have been demonstrated by quinazolines and quinazolinone, a large class of physiologically active compounds [9]

       
            fig-2.png
       

   Study Objective

Designing and evaluating novel quinazoline derivatives as potential JAK3 inhibitors for UC and CD.

MATERIALS AND METHOD:

  1. In-silico design of quinazoline derivative:

The ligands were drawn using the ChemSketch software based on the necessary pharmacophoric features. Zinc15 and the Pubchem database were used to verify the novelty of the compounds. The designed compounds were considered to be novel since there is no data available in the ZINC® database.

2.selection of biological target:

A Protein Data Bank is a crystallographic database for three-dimensional structural data of large biological molecules such as Protein, Nucleic acid and Complex assemblies. In this study, janus kinase 3 inhibitors were Chosen as a target for the treatment of UC and CD. The efficient PDB enzyme target was selected with lower resolution (PDB ID: 5toz) provides a significant target for UC and CD.

Preparation of protein:

       
            Preparation of protein.png
       

 Figure 2: Preparation of protein

3. In-silico screening of drug likeness property:

Swiss ADME is a free web tool that predicts the Absorption, Distribution, Metabolism, and Excretion (ADME) properties of small molecules, along with other pharmacokinetic and physicochemical characteristics. It is widely used in drug discovery and development to evaluate a compound’s drug-likeness and optimize its pharmacological properties.

4. In-silico screening of toxicity prediction:

The Osiris Property Explorer is a computational tool designed to predict the drug-relevant properties of chemical compounds. It provides a quick and intuitive way to estimate various molecular properties, including toxicity risks, physicochemical properties, and drug-likeness. It is widely used in the early stages of drug discovery and development for compound optimization.

5. Docking protocol:

The interaction between a tiny molecule (ligand) and a target macromolecule (usually a protein or nucleic acid) can be predicted computationally using a technique called molecular docking. By simulating their binding posture and affinity, it is a vital technique in structure-based drug design that helps find possible drug candidates.

Post docking evaluation:

Molegro Molecular Viewer (MMV) is an easy-to-use software program for examining protein-ligand interactions and viewing molecular structures. It provides a range of visualization options to examine binding poses, interaction networks (hydrophobic, electrostatic, and hydrogen bonding), and molecular characteristics. It is especially useful for post-docking research [10].

Synthetic scheme:

Scheme 1: for compounds (1-22)

       
            Scheme 1.png
       

Scheme 2: for compounds (23-51)       
            Scheme 2.png
       

 RESULTS AND DISCUSSION:

Novelty assessment:

The designed 51 compounds were considered to be novel since there is no data available in the ZINC® and the Pubchem database.

In-silico screening of drug-likeness property:

As per Lipinski rule of 5, ADME properties of novel proposed analogues were assessed using Swiss ADME, a free web tool.


Table No.1: Drug-likeness property of novel proposed analogues

 

Compound code

Log P

Molecular weight

No. of HBA

No. of HBD

No. of Rot. bonds

Lipinski rule of 5 (n violation)

PD1

2.50

233.27

3

0

2

0

PD2

2.80

263.29

4

0

3

0

PD3

2.72

247.79

3

0

2

0

PD4

2.76

281.74

3

0

2

0

PD5

2.66

261.32

3

0

4

0

PD6

2.54

217.22

5

0

3

0

PD7

2.00

223.24

4

0

2

0

PD8

2.19

249.27

4

1

2

0

PD9

2.76

247.27

3

0

2

0

PD10

2.08

278.27

5

0

3

0

PD11

2.90

293.32

5

0

4

0

PD12

2.99

277.32

4

0

3

0

PD13

2.75

301.27

6

0

3

0

PD14

2.16

278.27

5

0

3

0

PD15

2.71

297.74

4

1

2

0

PD16

2.17

283.71

4

1

2

0

PD17

2.70

318.19

3

0

2

0

PD18

2.77

267.71

3

0

2

0

PD19

2.41

239.30

3

0

2

0

PD20

2.11

278.27

5

0

3

0

PD21

3.28

289.37

3

0

5

0

PD22

2.20

261.28

4

0

3

0

PD23

1.70

278.31

3

2

5

0

PD24

1.85

348.19

4

2

5

0

PD25

1.30

279.30

4

2

5

0

PD26

1.90

308.33

4

2

6

0

PD27

1.15

294.31

4

3

5

0

PD28

3.11

268.27

4

3

5

0

PD29

1.47

279.30

4

2

5

0

PD30

2.03

312.75

3

2

5

0

PD31

2.34

270.33

4

2

5

0

PD32

2.14

347.20

3

2

5

0

PD33

2.52

354.40

3

1

6

0

PD34

1.03

246.27

5

3

6

0

PD35

1.90

296.30

4

2

5

0

PD36

1.70

328.75

4

3

5

0

PD37

1.54

323.31

5

2

6

0

PD38

1.70

273.32

3

3

5

0

PD39

1.62

293.32

4

2

5

0

PD40

1.75

307.35

4

3

6

0

PD41

1.91

292.34

3

2

5

0

PD42

1.95

292.34

3

2

5

0

PD43

0.57

245.24

4

3

5

0

PD44

1.01

323.33

6

3

6

0

PD45

4.20

318.33

4

3

5

0

PD46

1.55

295.30

5

3

5

0

PD47

1.65

321.33

4

3

7

0

PD48

2.57

397.88

4

2

6

0

PD49

1.76

303.32

4

2

5

0

PD50

2.00

314.73

5

2

5

0

PD51

1.93

335.38

4

2

5

0

 

In-silico screening of toxicity prediction and molecular docking of the designed analogues:

Toxicity profile of novel proposed analogues was assessed using the Osiris Property Explorer and the ligands with novelty (0 identity), good drug-likeness properties and no toxicity were selected for molecular docking studies against JAK3 selected protein (PDB ID: 5toz) by Auto dock tool 2.0.


Table no 2: toxicity prediction and docking scores of the designed compounds

 

Compound

Code

Structure of the compounds

Absence of toxicity

Binding score

PD1

 

yes

-7.5

PD2

yes

-7.77

PD3

yes

-7.55

PD4

yes

-6.61

PD5

yes

-7.06

PD6

yes

-6.48

PD7

yes

-7.24

PD8

yes

-7.32

PD9

yes

-7.38

PD10

yes

-8.35

PD11

yes

-7.29

PD12

yes

-7.43

PD13

yes

-7.26

PD14

yes

-8.52

PD15

yes

-7.45

PD16

yes

-7.49

PD17

yes

-7.31

PD18

yes

-7.33

PD19

yes

-7.19

PD20

yes

-7.93

PD21

yes

-4.45

PD22

yes

-7.6

PD23

yes

-8.12

PD24

yes

-7.82

PD25

yes

-8.13

PD26

yes

-8.22

PD27

yes

-7.36

PD28

yes

-7.72

PD29

yes

-7.76

PD30

yes

-7.61

PD31

yes

-6.65

PD32

yes

-7.9

PD33

yes

-8.15

PD34

yes

-7.94

PD35

yes

-7.95

PD36

yes

-7.94

PD37

yes

-8.82

PD38

yes

-6.97

PD39

yes

-7.58

PD40

yes

-7.89

PD41

yes

-7.62

PD42

yes

-6.78

PD43

yes

-7.44

PD44

yes

-7.66

PD45

yes

-8.52

PD46

yes

-7.69

PD47

yes

-8.41

PD48

yes

-5.9

PD49

yes

-8.31

PD50

yes

-7.74

PD51

yes

-7.51


Table No.3: Structure / IUPAC name of top 5 ligands based on docking scores

 

Compound code

Ligand structure

IUPAC name

PD23

2-anilino-N-(quinazolin-4-yl) acetamide

 

PD25

2-[(pyridin-4-yl) amino]-N-(quinazolin-4-yl) acetamide

 

PD26

2-(4-methoxyanilino)-N-(quinazolin-4-yl) acetamide

PD37

2-(4-nitroanilino)-N-(quinazolin-4-yl) acetamide

 

PD45

2-[(1H-benzimidazol-2-yl) amino]-N-(quinazolin-4yl) acetamide

 


Post-Docking Analysis:

To visualize molecular structures and analyze interactions between protein and ligands, Molegro Molecular Viewer (MMV) software is used.


Table No.4: Docking interaction of top 5 ligands based on docking scores

 

Compound Code

Interaction Of The Compounds

PD23

PD25

PD26

PD37

PD45


CONCLUSION

This work illustrates the value of molecular docking and in silico drug design methods in locating novel quinozoline derivatives that may be used as JAK3 inhibitors to treat UC and CD. Strong binding affinities and advantageous pharmacokinetic profiles are suggested by the computational results, which makes these drugs attractive candidates for additional experimental verification. Improved outcomes for patients with UC and CD may result from the development of efficient and selective JAK3 targeted treatments made possible by the insights gathered from the docking analysis and SAR research

ACKNOWLEDGEMENTS

We express our sincere thanks to the Department of Pharmaceutical Chemistry, College of Pharmacy, Madras Medical College (MMC), Chennai for providing necessary facilities for the research work

Conflicts of Interest

The author declares there is no conflict of interest.

REFERENCES

  1. McDowell C, Farooq U, Haseeb M. Inflammatory Bowel Disease. [Updated 2023 Aug 4]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK470312/
  2. Seyedian SS, Nokhostin F, Malamir MD. A review of the diagnosis, prevention, and treatment methods of inflammatory bowel disease. J Med Life. 2019 Apr-Jun;12(2):113-122. doi: 10.25122/jml-2018-0075. PMID: 31406511; PMCID: PMC6685307
  3. Baumgart DC. The diagnosis and treatment of Crohn's disease and ulcerative colitis. Dtsch Arztebl Int. 2009 Feb;106(8):123-33. doi: 10.3238/arztebl.2009.0123. Epub 2009 Feb 20. PMID: 19568370; PMCID: PMC2695363.
  4. Cordes F, Foell D, Ding JN, Varga G, Bettenworth D. Differential regulation of JAK/STAT-signaling in patients with ulcerative colitis and Crohn's disease. World J Gastroenterol. 2020 Jul 28;26(28):4055-4075. doi: 10.3748/wjg.v26.i28.4055. PMID: 32821070; PMCID: PMC7403801.
  5. https://en.wikipedia.org/w/index.php?title=Janus_kinase_3_inhibitor&oldid=1229391794
  6. O'Shea, J. J., & Plenge, R. (2012). JAK and STAT signaling molecules in IBD and other immune-mediated diseases. Immunity. This paper provides insights into the role of JAK3 and other JAKs in immune regulation and inflammation
  7. Rajeswari M, Santhi N, Bhuvaneswari V. Pharmacophore and Virtual Screening of JAK3 inhibitors. Bioinformation. 2014 Mar 19;10(3):157-63. doi: 10.6026/97320630010157. PMID: 24748756; PMCID: PMC3974243
  8. Alvarez?Builla J, Barluenga J. Heterocyclic compounds: an introduction. Modern Heterocyclic Chemistry. 2011 Jun 29:1-9. Jampilek J.
  9. Asif M. Chemical characteristics, synthetic methods, and biological potential of quinazoline and quinazolinone derivatives. Int J Med Chem. 2014;2014:395637. doi: 10.1155/2014/395637. Epub 2014 Nov 12. PMID: 25692041; PMCID: PMC4321853
  10. Singh N, Chaput L, Villoutreix BO. Virtual screening web servers: designing chemical probes and drug candidates in the cyberspace era. Br J Pharmacol. 2021;178(7):1592-1608. doi:10.1111/bph.15379

Reference

  1. McDowell C, Farooq U, Haseeb M. Inflammatory Bowel Disease. [Updated 2023 Aug 4]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK470312/
  2. Seyedian SS, Nokhostin F, Malamir MD. A review of the diagnosis, prevention, and treatment methods of inflammatory bowel disease. J Med Life. 2019 Apr-Jun;12(2):113-122. doi: 10.25122/jml-2018-0075. PMID: 31406511; PMCID: PMC6685307
  3. Baumgart DC. The diagnosis and treatment of Crohn's disease and ulcerative colitis. Dtsch Arztebl Int. 2009 Feb;106(8):123-33. doi: 10.3238/arztebl.2009.0123. Epub 2009 Feb 20. PMID: 19568370; PMCID: PMC2695363.
  4. Cordes F, Foell D, Ding JN, Varga G, Bettenworth D. Differential regulation of JAK/STAT-signaling in patients with ulcerative colitis and Crohn's disease. World J Gastroenterol. 2020 Jul 28;26(28):4055-4075. doi: 10.3748/wjg.v26.i28.4055. PMID: 32821070; PMCID: PMC7403801.
  5. https://en.wikipedia.org/w/index.php?title=Janus_kinase_3_inhibitor&oldid=1229391794
  6. O'Shea, J. J., & Plenge, R. (2012). JAK and STAT signaling molecules in IBD and other immune-mediated diseases. Immunity. This paper provides insights into the role of JAK3 and other JAKs in immune regulation and inflammation
  7. Rajeswari M, Santhi N, Bhuvaneswari V. Pharmacophore and Virtual Screening of JAK3 inhibitors. Bioinformation. 2014 Mar 19;10(3):157-63. doi: 10.6026/97320630010157. PMID: 24748756; PMCID: PMC3974243
  8. Alvarez?Builla J, Barluenga J. Heterocyclic compounds: an introduction. Modern Heterocyclic Chemistry. 2011 Jun 29:1-9. Jampilek J.
  9. Asif M. Chemical characteristics, synthetic methods, and biological potential of quinazoline and quinazolinone derivatives. Int J Med Chem. 2014;2014:395637. doi: 10.1155/2014/395637. Epub 2014 Nov 12. PMID: 25692041; PMCID: PMC4321853
  10. Singh N, Chaput L, Villoutreix BO. Virtual screening web servers: designing chemical probes and drug candidates in the cyberspace era. Br J Pharmacol. 2021;178(7):1592-1608. doi:10.1111/bph.15379

Photo
Priyadharshini R.
Corresponding author

Department of pharmaceutical chemistry, college of pharmacy, Madras medical college, Affiliated to The Tamil N?du Dr. M.G.R medical university, Chennai, Tamil Nadu, India

Photo
Neelambari S.
Co-author

Department of pharmaceutical chemistry, college of pharmacy, Madras medical college, Affiliated to The Tamil N?du Dr. M.G.R medical university, Chennai, Tamil Nadu, India

Photo
Jawaharsamuvel R.
Co-author

Department of pharmaceutical chemistry, college of pharmacy, Madras medical college, Affiliated to The Tamil N?du Dr. M.G.R medical university, Chennai, Tamil Nadu, India

Photo
Mohammed Idrees H.
Co-author

Department of pharmaceutical chemistry, college of pharmacy, Madras medical college, Affiliated to The Tamil N?du Dr. M.G.R medical university, Chennai, Tamil Nadu, India

Priyadharshini R*, Neelambari S., Jawaharsamuvel R., Mohammed Idrees H., Insilico Drug Design and Molecular Docking Studies of Some Novel Quinozoline Derivatives Targeting Janus Kinase 3 For Ulcerative Colitis and Crohn’s Diseases, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 01, 221-235. https://doi.org/10.5281/zenodo.14593394

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