Current Trends in Pharmacy and Pharmaceutical Chemistry

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Get Permission Jadhav, Gadekar, Jadhav, and Jadhav: Design, molecular docking studies and ADME prediction of 2, 5-disubstituted 1, 3, 4-oxadiazole derivatives as CYP51 inhibitor for antimicrobial activity


Introduction

Treatment for bacterial infections is becoming complicated day by day due to the ability of bacteria to develop resistance to antimicrobial agents,1 Microorganisms have become resistant to currently used antibiotics due to over-prescription of antibiotics, and their inappropriate use by patients. This challenges the treatment even though previously used antibiotics or antimicrobial drugs are no longer effective, and infections become progressively difficult to treat.2 Hence, it is essential to design and discover new and safer as well as more effective antimicrobial drugs,3 Literature survey revealed that 1, 3, 4-oxadiazole possess diverse pharmacological activities such as anticancer,4 antimicrobial,5, 6 anti-hypertensive,7 anticonvulsant,8 antimalarial,9 antiviral,10 anti-inflammatory.11 Some of 2, 5-disubstituted 1, 3, 4- oxadiazole based entities have emerged as most potent antimicrobial activities.12, 13, 14 CYP51 is one of the key enzyme of ergosterol biosynthesis in different biological kingdoms and is found in eukaryotes (including humans). Inhibition of ergosterol synthesis, as the new structures fit very well in the active site of the lanosterol 14α-demethylase enzyme. It takes part in the synthesis of ergosterol, the main sterol component of the fungal cell membrane and serves the metabolic function such as membrane permeability, membrane fluidity, enzyme activity, cell morphology, and cell cycle progression. Inhibition of this enzyme causes loss of cell continuity and cell dysfunction.15 1, 3, 4-Oxadiazole block the 14α-demethylation of lanosterol into ergosterol, which is a major component of fungal cytoplasmic membranes and a bioregulator of membrane asymmetry, fluidity and integrity.16, 17, 18, 19, 20, 21, 22, 23, 24, 25

Materials and Methods

In silico ADME (Absorption, Distribution, Metabolism and Excretion Studies)

ADME describes the pharmacokinetics of the molecules within the body of organisms. It evaluates the risk of a pharmacological compound being administered to the human body or other organisms. These pharmacokinetic properties are identified in silico using an online tool such as SwissADME (http://www.swissadme.ch/),24 preADMET (https://preadmet.bmdrc.kr/). According to the Lipinski’s rule of 5, the two or more violation makes the molecules orally inactive. Drug likeness is the complicated balance of multiple chemical characteristics and structure features that determines whether a molecule is similar to the medications that are already on the market. These properties include hydrophobicity, hydrogen bonding characteristics, electronic distribution, flexibility, molecule size, and the presence of several pharmacophoric features all influence a molecule's behavior in a living organism, including transport properties, bioavailability, reactivity, affinity to proteins, toxicity, metabolic stability, and many other factors.20

Molecular docking studies

To predict the binding interaction of designed 2,5 disubstituted 1,3,4-Oxadiazole derivatives with targeted protein, molecular docking is performed. The targeted protein is the CYP51 (PDB ID: 6AYC). Molecular docking is performed using Autodock Vina software. Before docking, the protein was prepared using the Discovery visual studio tool. The protein is downloaded from PDB and the unwanted atoms such as water molecules, hetero atoms, unwanted chains, cofactors are removed, making the protein ready for interaction. The designed 2, 5 disubstituted 1, 3, 4-Oxadiazole derivatives are optimized by using Chem 3D software to minimize the energy of the structure.

Result and Discussion

To be a successful medicine, the chemical must have high biological activity at low effective concentrations, low toxicity, and the ability to remain active until the intended result occurs. As the 1, 3, 4-Oxadiazole nucleus is reported widely to treat microbial infection, new derivatives containing 2, 5 disubstituted 1, 3, 4-Oxadiazole are designed for its antimicrobial activity, targeting the ergosterol biosynthesis inhibitor activity. From the Pass online (http://way2drug.com/PassOnline/predict.ph). All the designed compounds are given in Figure 2. It was found that the designed compound shows ergosterol biosynthesis inhibitor activity with a minimal adverse drug reaction.

Figure 1

Designed 2, 5 disubstituted 1,3,4-Oxadiazole derivatives.

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/1480eb88-3def-4c68-94b0-01c4a93886a7image1.png
Diagram 1

Derivatives of designed compound

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/1480eb88-3def-4c68-94b0-01c4a93886a7image2.png

Figure 2

Structure of standard Itroconazole

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/1480eb88-3def-4c68-94b0-01c4a93886a7image3.png
Table 1

Druglikeness analysis of designed 2, 5 disubstituted 1,3,4-Oxadiazole derivatives

Compounds

Molecular Weight

CMC Rule Violation

Lipinski’s rule violation

Mol Log P

H-bond donor

H-bond acceptor

No. of Rotatable bonds

TPSA(Å2)

C1

238.28

0

0

3.48

0

2

2

24.83

C2

272.73

0

0

3.99

0

2

2

24.83

C3

300.35

0

1

4.71

0

2

3

24.83

C4

334.8

1

1

5.6

0

2

3

24.83

C5

326.39

1

1

4.81

0

2

4

24.83

C6

360.84

1

1

5.7

0

2

4

24.83

C7

316.35

0

0

4.13

1

3

3

45.06

C9

350.8

0

1

4.62

1

3

3

45.06

C9

344.36

0

1

4.26

1

4

4

62.13

C10

378.81

0

1

4.74

1

4

4

62.13

Absorption, distribution, metabolism and excretion (ADME results)

All the designed compounds violate only one rule, so we can say that the molecules are orally active. The results of ADME studies are given in Table 1, Table 2. From the designed compounds follow the rule of 5 having octanol-water partition coefficient (mol log P) not greater than 5 except C4 and C6,24

Table 2

In silico ADME properties of 2, 5 disubstituted 1,3,4-Oxadiazole designed derivatives.

Comp

Absorption

Distribution

Metabolism

Caco2

Intestinal absorpation (%absorbed)

BBB Perm.(log BB)

BBB permeant

PPB (%)

CYP1A2 inhibitor

CYP2C19 inhibitor

CYP2C9 inhibitor

CYP2D6

C1

55.5244

High

1.76127

Yes

92.73

Yes

Yes

Yes

No

C2

55.2623

High

0.61500

Yes

89.51

Yes

Yes

Yes

No

C3

55.5777

High

1.77748

Yes

97.69

Yes

Yes

Yes

No

C4

56.4348

High

1.18389

Yes

98.44

Yes

Yes

Yes

No

C5

54.1999

High

1.58087

Yes

100

Yes

Yes

Yes

No

C6

56.931

High

1.68276

Yes

97.38

Yes

Yes

Yes

No

C7

51.4554

High

1.59199

Yes

92.78

Yes

Yes

Yes

Yes

C8

39.2712

High

2.64081

Yes

100

Yes

Yes

Yes

No

C9

23.5578

High

4.54256

Yes

92.84

No

Yes

Yes

No

C10

25.4542

High

0.601595

Yes

100

No

Yes

Yes

No

Table 3

Docking study of the designed2, 5 disubstituted 1,3,4-Oxadiazole derivatives.

Comp.

Binding Affinity (kcal/mol)

Binding Constant (Ki) (nM)

Interacting Amino Acid

Hydrophobic Interaction

Distance

Hydrogen Bonds

Distance

C1

13.1657

-8.9

LEU467

3.63765

-

-

PHE53

4.82166

PHE216

5.22713

ALA54

4.87982

PRO57

5.25823

PRO213

4.95128

C2

13.7172

-8.8

LEU467

3.61086

-

-

PHE53

4.8416

PHE216

5.46117

TYR107

4.41613

PHE109

4.74541

ALA54

4.86547

PRO57

5.29111

PRO213

4.93923

C3

10.3517

-8.9

TYR107

3.80725

ILE361

4.54583

ALA293

4.11265

-

-

C4

10.9145

-8.8

TYR107

3.80553

TYR120

2.73813

ILE361

3.99089

PHE94

5.44064

ILE361

4.76548

MET110

5.13972

ALA293

4.24122

LEU358

5.46755

C5

15.7589

-8.4

MET362

3.81233

-

-

LEU467

3.97853

TYR107

4.01724

PHE216

5.07628

ALA293

4.66649

LEU358

5.02032

C6

16.3187

-9.5

LEU467

3.66563

-

-

TYR107

4.02047

UNL1

3.82428

PHE216

5.16666

PHE216 :CL

4.69912

ALA293

4.54972

LEU358

5.00921

C7

8.1309

-8.5

TYR107

3.91713

-

-

ALA293

4.2378

ILE361

4.4369

C8

8.6638

-8.7

TYR107

3.82282

TYR120

2.78335

ILE361

3.99909

PHE94

5.42586

ALA293

4.25718

LEU358

5.40895

C9

27.1817

-8.9

TYR107

4.27086

TYR107

2.57296

ALA293

4.99474

HIS428

1.97642

ILE361

4.03364

C10

27.9346

-9.3

LEU358

3.68783

LEU467

3.55247

-

-

TYR107

4.63635

PHE216

5.24933

PRO213

4.94516

PHE216

5.07169

MET110

5.34765

LEU358

4.98145

LEU467

5.22268

ILE361

5.43969

C11

87.7771

-10.5

ALA54

3.94

ARG363

2.98

2.69

3.28

2.82

3.15

ALA293

3.76

TYR107

2.96

3.36

Figure 3

Binding interaction of C9 with 6AYCprotein.

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/1480eb88-3def-4c68-94b0-01c4a93886a7image4.png
Figure 4

Binding interaction of C11(Standard) with 6AYC protein.

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/1480eb88-3def-4c68-94b0-01c4a93886a7image5.png

it is predicted that the molecules have good oral bioavailability. (Table 1) The water solubility is given as the logarithm of molar concentration. The water solubility of designed compounds is typically in the range of -5.00 to -6.00. (Table 1) Because of the presence of lipophilic functionalities aimed at improving cell permeability, the designed compounds are moderately water-soluble. The percent absorption of the compounds was calculated since the absorption of an orally administered medication occurs mostly through the small intestine. Because Caco2 cells from human colon cancer resemble intestinal epithelial cells, their permeability can predict drug intake. The compound having high permeability should have Papp > 8 x10-6 246 cm/s. Interestingly, all the designed compounds show high Caco-2 permeability. Also, all the compounds showed high intestinal absorption. (Table 2)

The distribution of the drug in the body was predicted using a volume of distribution (VDss), blood-brain barrier permeability, and fraction unbound. Higher value VDss implies better drug distribution in the tissues than in plasma, and Log VDss> 0.45 suggests more tissue distribution. All the compounds show the moderate distribution in tissues. The percent bound efficacy of medicine suggests that it is less bound to blood proteins and hence more free to distribute. The plasma protein binding model predicts whether a substance will bind strongly to blood carrier proteins. The percent PPB of the designed compound ranges from 92 to 100%. As a result of the designed compound, there's a high probability of these compounds can reach the desired targets. SwissADME and preADMET tools were used to calculate the permeability of the blood-brain barrier (BBB). All the designed compounds interact with cytochromes either as substrates or as inhibitors. The compounds are likely to have hepatotoxicity hence further study is necessary to determine the hepatotoxic dose level. All the designed compounds have good ADME and toxicity properties and can be considered as the probable lead candidate.

Molecular docking results

Molecular docking is a method for predicting the major binding mode of a ligand with a target protein of known 3D structure, which is an important tool in structure-based computer-assisted drug design.25 The designed 2, 5 disubstituted 1,3,4-Oxadiazole derivatives are docked well into the active site of the target protein (PDB ID: 6AYC) using autodock software. The designed compound C4, C8, C9 shows appropriate binding to the target protein by hydrogen bond and hydrophobic interaction whereas C1, C2, C3, C5, C6, C7, C10 shows hydrophobic bonding. Among this, C3, C7, C8, and C9 shows other interaction. The interactions established by the active compounds were within the 5 Å radius to the binding site of CYP51 protein. Almost all the compounds were active and C9 is the most active compound with minimum binding affinity are selected as potent inhibitors. Hydrophobic interaction of C9 with TYR, ILE and ALA are distinguished. There is also the formation of the hydrogen bonds between molecules TYR and HIS are fully recognized as indicated which have observed Table 2, Table 3. Docking studies revealed that the binding mode of the most active compounds with designed compound and target protein.

Conclusion

The 2, 5 disubstituted 1,3,4-Oxadiazole derivatives were designed and it's in silico parameter was studied. According to ADME studies all the designed compounds can be considered as lead molecules. Among the derivatives, C9 show the most potent inhibitor according to a molecular docking study. They interact with TYR, ILE and ALA to form hydrophobic interaction and with TYR and HIS form hydrogen bonding. The ADME study of these compounds reveals that they are suitable for drug-likeness. These derivatives have good PPB and intestinal absorption properties. Overall, the studies reveal that C9 compounds show potent inhibitors against CYP51 as an antimicrobial agent.

Source of Funding

None.

Conflict of Interest

None.

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Article type

Original Article


Article page

83-89


Authors Details

Pooja Subhash Jadhav, Dipali Pandharinath Gadekar, Prerana B. Jadhav, Shailaja B. Jadhav


Article History

Received : 05-03-2022

Accepted : 11-05-2022


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