Reviews in Pharmacy and Pharmaceutical Sciences

Research Article - (2021) Volume 1, Issue 1

Computational Approach for Designing, Swiss ADME, Molecular Docking and Biological Implication of Nickel Based Transition Metal Complex

Mohd. Washid Khan*, Nihal Pillai, Abhishek Pandey, Priyanka Mihaulia, Shubham Singh and Sakshi Swami
 
Department of Chemistry and Pharmacy, Rani Durgavati University, India
 
*Correspondence: Mohd. Washid Khan, Department of Chemistry and Pharmacy, Rani Durgavati University, Jabalpur, Madhya Pradesh, India

Received Date: Sep 26, 2021 / Accepted Date: Oct 22, 2021 / Published Date: Nov 01, 2021

Abstract

In this article was showing a computational approach to statistical learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. In this approach using Swiss ADME web tools for evaluate biophysical parameter like lipophilicity, drug likeness, water solubility and medicinal chemistry of nickel base metal complex data was showing through tabular form. Furthermore, molecular docking study of all compounds was performed against enzymes and DNA DISCOVERY STUDIO 2021 after confirmation of DNA-interaction through docking studies, nuclease activity was performed using agarose gel electrophoresis method and all compounds have been found to cleave DNA. These results concluded that nickel complexes of sulfonamide may be good induction in the future for medical purposes.

Keywords

Computational approach, Swiss ADME, Biophysical parameter, Docking studies

Introduction

Molecular structure, in its simplest sense, is interpreted in terms of covalent bonds formed through shared pairs of electrons. First introduced by G.N. Lewis almost a century ago, the concept of a covalent bond formed when two atoms share an electron pair remains as a firm basis of chemistry, giving us a basic understanding of single, double and triple bonds, as well as of a lone pair of electrons on an atom. Evolving from these simple concepts came valence bond theory, an early quantum mechanical theory which expressed the concepts of Lewis in terms of wave functions [1-8] . However, coordination chemistry is marked by a need to employ the additional concept of coordinate bond formation, where the bond pair of electrons originates on one of the two partner atoms alone. In most coordination compounds it is possible to identify a central or core atom or ion that is bonded not simply to one other atom, ion or group through a coordinate bond, but to several of these entities at once. The central atom is an acceptor, with the surrounding species each bringing (at least) one lone pair of electrons to donate to an empty orbital on the central atom [9]. The central atom is a metal or metalloid, and the compound that results from bond formation is called a coordination compound, coordination complex or often simply a complex [10-16].

Image

FIG.1. A schematic view of ammonia acting as a donor ligand to a metalloid acceptor and to a metal ion.

Coordination has a range of consequences for the new assembly. It leads to structural change, seen in terms of change in the number of bonds and/or bond angles and distances. This is inevitably tied to a change in the physical properties of the assembly, which differ from those of its separate components. With metal atoms or ions at the centre of a coordination complex, even changing one of a set of ligands will be reflected in readily observable change in physical properties, such as color. With growing sophistication in both synthesis and our understanding of physical methods, properties can often be tuned through varying ligands to produce a particular result, such as a desired reduction potential. It should also be noted that a coordination compound adopts one of a limited number of basic shapes, with the shape determined by the nature of the central atom and its attached ligands. Moreover, the physical properties of the coordination compound depend on and reflect the nature of the central atom, ligand set and molecular shape. Whereas only one central atom occurs in many coordination compounds (a compound we may thus define as a monomer), it should also be noted that there exists a large and growing range of compounds where there are two or more central atoms, either of the same or different types [17-20]. These central atoms are linked together through direct atom-to-atom bonding, or else are linked by ligands that as a result are joined to at least two central atoms at the same time. This latter arrangement, where one or even several ligands are said to bridge between central atoms, is the more common of these two options. The resulting species can usually be thought of as a set of monomer units linked together, leading to what is formally a polymer or, more correctly when only a small number of units are linked, an oligomer. We shall concentrate largely on simple monomeric species herein, but will introduce examples of larger linked compounds where appropriate.

Sulfa moiety
These are synthetic chemotherapeutic agents which contain sulphonamide groups (–SO2 NH2) in their structure. These were the first effective chemotherapeutic agents to be widely used for the cure of bacterial infections in human. Glemo in 1908 synthesized a compound p– aminobenzenosulphonamide commonly known as sulphanilamide for the study of azo dyes. Later on Gerhard Domagk screened a number of these azo dyes for their antibacterial effects and observed that they were active against streptococci. Domagk prepared a red dye 4–sulphonamide–2’,4’–diaminobenzene known as prontosil which has significant curative properties.

Image

FIG.2. Diagram represents the sulphonamide moiety.

Web tool predictive models Swiss ADME for physicochemical properties
It present the new Swiss ADME web tool that gives free access to a pool of fast yet robust predictive models for physicochemical properties, pharmacokinetics, drug-likeness and medicinal chemistry friendliness, among which in-house proficient methods such as the BOILED-Egg, iLOGP and Bioavailability Radar. Easy efficient input and interpretation are ensured thanks to a user-friendly interface through the login-free website http://www.swissadme.ch. Specialists, but also non expert in chem. informatics or computational chemistry can predict rapidly key parameters for a collection of molecules to support their drug discovery endeavors [21].

Image

Fig.3 Diagram represents the swiss ADME Software in webpage

Density functional theory applied for the study of synthesis and processing parameters
DFT computational methods are applied for the study of systems exhibiting high sensitivity to synthesis and processing parameters [22-23]. In such systems, experimental studies are often encumbered by inconsistent results and non-equilibrium conditions. Examples of contemporary DFT applications include studying the effects of dopants on phase transformation behavior in oxides, magnetic behavior in dilute magnetic semiconductor materials and the study of magnetic and electronic behavior in ferroelectrics and dilute magnetic semiconductors [24,25]. In practice, Kohn Sham theory can be applied in several distinct ways depending on what is being investigated. In solid state calculations, the local density approximations are still commonly used along with plane wave basis sets, as an electron gas approach is more appropriate for electrons delocalized through an infinite solid.

Image

FIG.4. Density functional theory (DFT) abandons the many particle electron.

Molecular docking used to predict the strength of binding affinity
Molecular docking is a method which predicts the preferred orientation of one molecule to a second when bound to each other to form a stable complex Knowledge of the preferred orientation is used to predict the strength of association or binding affinity between two molecules using scoring functions [26-28]. The associations between biologically relevant molecules such as proteins, nucleic acids, carbohydrates, and lipids play central role in signal transduction. Docking is frequently used to predict the binding orientation of drug candidates to their protein targets in order to predict the affinity and activity of the small molecule. Hence docking plays an important role in the rational design of drugs .The aim of molecular docking is to achieve an optimized conformation for both the protein and ligand and relative orientation between protein and ligand so that the free energy of the overall system is minimized. Molecular recognition plays a key role in promoting fundamental bimolecular events such as enzyme- substrate, drug-protein and drug-nucleic acid interactions [29].

Image

FIG.5. 3D Pharmacophore-based virtual screening workflow.

Structural formulation and investigation by Chemdraw software

Image

FIG.6. 3D structure of nickel metal complex formulated by Chem3D Software

Biophysical parameter evaluate by Swiss ADME
Concomitant predictions for both brain and intestinal permeation are obtained from the same two physicochemical descriptors and straight forwardly translated into molecular design, owing to the speed, accuracy, conceptual simplicity and clear graphical output of the model [30-35]. The BOILED-Egg can be applied in a variety of settings, from the filtering of chemical libraries at the early steps of drug discovery, to the evaluation of drug candidates for development [32].

Image

Fig.7. Biophysical parameters.

Physicochemical properties

Formula

C23H26N11NiO7S

Molecular weight

659.28 g/mol

Num. heavy atoms

43

Num. arom. heavy atoms

24

Fraction Csp3

0.04

Num. rotatable bonds

13

Num. H-bond acceptors

12

Num. H-bond donors

4

Molar Refractivity

160.16

TPSA

273.73 Ų

Liphophilicity

Log Po/w (iLOGP)

0

Log Po/w (XLOGP3)

3.58

Log Po/w (WLOGP)

1.11

Log Po/w (MLOGP)

-2.51

Log Po/w (SILICOS-IT)

-8.34

Consensus Log Po/w

-1.23

Water solubility

Log S (ESOL)

-5.74

Solubility

1.21e-03 mg/ml ; 1.83e-06 mol/l

Class

Moderately soluble

Log S (Ali)

-9.01

Solubility

6.38e-07 mg/ml ; 9.67e-10 mol/l

Class

Poorly soluble

Log S (SILICOS-IT)

-2.89

Solubility

8.42e-01 mg/ml ; 1.28e-03 mol/l

Class

Soluble

Pharmacokinetics

GI absorption

Low

BBB permeant

No

P-gp substrate

Yes

CYP1A2 inhibitor

No

CYP2C19 inhibitor

No

CYP2C9 inhibitor

Yes

CYP2D6 inhibitor

No

CYP3A4 inhibitor

Yes

Log Kp (skin permeation)

-7.78 cm/s

Druglikeness

Lipinski

No; 2 violations: MW>500, NorO>10

Ghose

No; 2 violations: MW>480, MR>130

Veber

No; 2 violations: Rotors>10, TPSA>140

Egan

No; 1 violation: TPSA>131.6

Muegge

No; 3 violations: MW>600, TPSA>150, Hacc>10

Bioavailability Score

0.11

Medicinal Chemistry

PAINS

1 alert: anil_no_alk

Brenk

3 alerts: aniline, oxygen-nitrogen_single_bond, thiocarbonyl_group

Leadlikeness

No; 3 violations: MW>350, Rotors>7, XLOGP3>3.5

Synthetic accessibility

5.62

Table 1. Biophysical parameter evaluated by Swiss ADME web tool.

Molecular docking of Nickel based metal complex
An excellent review has been published describing the application of pharmacophore based modeling methods in discovering new leads in the absence of structural data. The success of a docking program depends on two components such as search algorithm and scoring function. Searching conformational space the search space consists of all possible orientations and conformations of the protein paired with ligand [36].

Docking was performed with discovery studio visualize software and receptor was taken online protein data bank (https://www.rcsb.org) 7OL0 Structure of active transcription elongation complex Pol II-DSIF (SPT5-KOW5) main protease pdb. Nickel containing complex of sulphonamides shows least energy of bind site as mentioned in the above figure in the blue spot (seven binding site) with receptor that is known proteas. Nickel (II) complexes of sulfonamides have found importance in biological and pharmaceutical systems [37-45]. This study focuses on Nickel (II) complexes that were synthesized by precipitation method. The spectroscopic characterization was done by different techniques like Swiss ADME, DFT, PDB.

Furthermore, molecular docking study of all compounds was performed against enzymes and DNA DISCOVERY STUDIO 2021 [38-57]. After confirmation of DNA-interaction through docking studies, nuclease activity was performed using agarose gel electrophoresis method and all compounds have been found to cleave DNA. These results concluded that nickel complexes of sulfonamide may be good induction in the future for medical purposes.

Image

Fig.8. Docking between ligand containing metal complex of Nickel with sulphonamides with 7OL0 of the SARS main protein.

Image

Fig.9. Hydrogen bond interaction of Nickel with sulphonamides with 7OL0 of the SARS main protein.

Image

Fig.10. 2D structure of Nickel with sulphonamides with 7OL0 of the SARS main protein.

Conclusion

The overall conclusion in this research article was showing a computational approach to statistical learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. Through this theme, the computational approach motivates and clarifies the relationships between various predictive models. furthermore Concomitant predictions for both brain and intestinal permeation are obtained from the same two physicochemical descriptors and straight forwardly translated into molecular design, owing to the speed, accuracy, conceptual simplicity and clear graphical output of the model. In this approach using Swiss ADME web tools for evaluate biophysical parameter like lipophilicity, drug likeness, water solubility and medicinal chemistry of nickel base metal complex data was showing through tabular form. Furthermore, molecular docking study of all compounds was performed against enzymes and DNA DISCOVERY STUDIO 2021 after confirmation of DNA-interaction through docking studies, nuclease activity was performed using agarose gel electrophoresis method and all compounds have been found to cleave DNA. These results concluded that nickel complexes of sulfonamide may be good induction in the future for medical purposes.

Acknowledgement

Author Mohd.Washid Khan thanks Prof. Kapil deo Mishra, Vice Chancellor, Rani Durgavati University, Jabalpur for providing medium-sized libraries and workplaces. I would also like to inform Dr. Brajesh Singh, Registrar, Rani Durgavati University, Jabalpur Instrumentation Provisioning and Laboratory Facility.

Conflict of Interest

The authors declare no conflict of interest.

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