Rajiv Gandhi Institute of Pharmaceutical Sciences and Research, Trikaripur, Kasaragod, Kerala, India
Alzheimer's disease (AD) is marked by the aggregation of amyloid-beta (A?) peptides into plaques, which are key contributors to neurodegeneration and cognitive decline. The search for effective inhibitors of A? aggregation is critical for AD drug discovery, and isatin derivatives have emerged as promising candidates due to their diverse biological activities. This study explores the anti-amyloid aggregation potential of various isatin derivatives using a suite of computational tools. Molecular docking studies performed using PyRx software revealed significant binding interactions between the isatin derivatives and A? peptides, identifying compounds with high binding affinities. SwissADME was employed to evaluate the pharmacokinetic properties of the derivatives, ensuring their drug-likeness and oral bioavailability. PASS (Prediction of Activity Spectra for Substances) analysis predicted these derivatives to be strong inhibitors of A? aggregation. Molinspiration was used to assess molecular properties such as bioactivity scores, further validating their potential as drug-like compounds. The results of these computational analyses highlight several isatin derivatives with potent anti-amyloid activity, supported by favorable docking scores and optimal pharmacokinetic profiles. Structure-activity relationship (SAR) analysis identified key functional groups that enhance the anti-aggregation activity, with some derivatives demonstrating maximum inhibition of A? fibril formation. This study suggests that isatin derivatives are strong candidates for Alzheimer's drug discovery, offering a promising avenue for the development of novel anti-amyloid agents based on in silico evaluation. Among the three Isatin derivatives, 3-[2-(4-fluorophenyl) hydrazinyl]indol-2-one obtained the best docking score and hence it can be considered as a promising compound for Alzheimer's treatment.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by the gradual loss of cognitive functions, particularly memory, and is the most common form of dementia. It affects millions of people worldwide and places a significant emotional and financial burden on families and healthcare systems.
Causes and Risk Factors
Symptoms
Treatment and Management
Pathophysiology
Alzheimer's disease (AD) is characterized by complex pathological processes leading to progressive neurodegeneration. The disease's hallmark features include the accumulation of amyloid-beta plaques, the formation of neurofibrillary tangles composed of hyperphosphorylated tau protein, and widespread neuronal loss.
Amyloid-Beta Plaques
Tau Protein and Neurofibrillary Tangles
Synaptic Dysfunction and Neuronal Loss
Inflammatory Responses
Oxidative Stress
Vascular Contributions
Genetic Factors
Cellular and Molecular Pathways
Disease Progression
Alzheimer's Dementia: As the disease progresses, extensive A? plaques and tau tangles are found throughout the cortex, leading to severe cognitive and functional impairments.
Unlocking The Potential of Isatin
Isatin (indole-2,3-dione) is a unique and structurally versatile organic compound. Here’s a detailed look at its structure and the structure-activity relationship (SAR) in Alzheimer’s disease (AD):
Structural Characteristics
Structural Activity Relationship of Isatin
Core Structure
The core structure of isatin is an indole ring fused with a two-carbon lactam (keto) group at the 2,3-positions. This core structure is crucial for its biological activity.
Key Sites for Structural Modifications and Their Effects
Modifications at the Indole Ring
MATERIALS AND METHODS
Protein Preparation: The target protein structure (PDB ID: 5TPT) was obtained from the Protein Data Bank.
2.Ligand Preparation: The ligand structure was sourced from PubChem database and some structures were drawn by using Chemsketch.
3.Software and Tools used:
Chemsketch - Used for drawing and optimizing the ligand structure.
Molinspiration - Used for evaluating molecular properties such as LogP, TPSA and Lipinski’s rule of five.
PASS Online - Employed to predict the biological activity of spectrum of the ligand.
SWISS ADME - Utilized to assess ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) properties of the ligand.
4.Molecular Docking - Docking studies was were carried out using PyRx, an open software for virtual screening. The protein was prepared by removing water molecules and adding polar hydrogens. The receptor-ligand interaction was analyzed through Biovia Discovery Studio Visualizer.
5.Analysis – The results were evaluated to identify ligands with significant binding affinity and their interaction with the active site of the protein.
RESULT AND DISCUSSIONS
In the present study, various isatin derivatives were selected and analyzed to evaluate their potential as Anti-Alzheimer’s agents. These derivatives were drawn using Chem Sketch.
Table 1: Structure of isatin derivatives using Chem Sketch
Isatin |
|
O=C1Nc2ccccc2C1=O
|
N-Benzyl isatin |
|
O=C1N(Cc2ccccc2)c2ccc cc2C1=O
|
Isatin-3-(4-fluorophenyl) hydrazone |
|
O=C/1Nc2ccccc2\C\1=N/N c1ccc(F)cc1 |
3-(2-oxoindolin-3-yldiene) indoline-2-one |
|
O=C\1Nc2ccccc2/C/1=C1\c 2ccccc2NC1=O
|
Isatin |
|
O=C1Nc2ccccc2C1=O
|
Isatin-3-thiosemicarbazone |
|
O=C/1Nc2ccccc2\C\1=N/NCN
|
3-[2-(4-fluorophenyl) hydrazinyl] indol-2-one |
|
OC1Nc2ccccc2C1\N=N\c1c cc(F)cc1
|
5,7-Dibromo-n-(p-methoxybenzyl) isatin |
|
O=C1N(Cc2cc(ccc2)OC)c2c (Br)cc(Br)cc2C1=O
|
N-Methylisatin-3-thiosemicarbazone |
|
S=C(N)\N=N\C1c2ccccc2C (C)C1O
|
5-Fluoroisatin
|
|
Fc1cc2C(=O)C(=O)Nc2cc1
|
Among all the compounds, three compound showed best docking score. Docking helps to predict how small molecules, like drugs, bind to a target protein and it was carried out by using PyRx software.
Docking Score
Table 2: Docking score of potent Isatin derivatives using PyRx.
Compound |
Binding Affinity (Kcal/Mol) |
3-[2-(4-fluorophenyl)hydrazinyl]indol-2-one |
-7.4 |
5,7-dibromo-n-(p-methoxybenzyl)isatin |
-7.3 |
N-Methylisatin-3-thiosemicarbazone |
-6.8 |
Receptor-Ligand Interaction On 2d Diagram from Biovia Discovery Studio Visualizer
Figure 3: 3-[2-(4-fluorophenyl) hydrazinyl] indol-2-one
Molinspiration is a cheminformatics software used for calculating molecular properties, bioactivity scores, and predicting drug likeness of chemical compounds. It is widely used in pharmaceutical research and development for its ability to analyse molecular structures and provide insights into their potential as drug candidates.
Table 3: Analysis of Lipinski’s rule of five of proposed derivatives
PASS (Prediction of Activity Spectra for Substances) is an online software tool designed for predicting the biological activity of chemical compounds. It uses a large database of known compounds and their activities to predict the potential pharmacological effects, mechanisms of action, toxicity, and interaction with biological targets of new compounds.
In PASS (Prediction of Activity Spectra for Substances), the values Pa and Pi are used to represent the predicted probability of a compound's biological activity. Here's what they mean:
1.Pa (Probability of Activity): This value indicates the likelihood that a compound will show a particular biological activity.
A higher Pa value (closer to 1) meaning that the compound is more likely to exhibit the predicted activity.
A Pa value greater than 0.7 is typically considered highly reliable and indicates a strong prediction.
2. Pi (Probability of Inactivity): This value indicates the likelihood that a compound will not show a particular biological activity.
A lower Pi value (closer to 0) means there is less chance that the compound will be inactive in regard to the predicted activity.
A Pa value closer to 1 combined with a Pi value closer to 0 suggests a strong prediction that the compound will exhibit the activity.
Interpretation:
If Pa > 0.7 and Pi is low, the prediction is more likely to be accurate.
If 0.5 < Pa>
If Pa < 0>
Table 4: Prediction of various derivatives using PASS
Compound |
Activity |
Pa |
Pi |
3-[2-(4-fluorophenyl) hydrazinyl]indol-2-one |
Amyloid beta precursor protein antagonist |
0,287
|
0,025
|
5,7-dibromo-n-(p-methoxybenzyl)isatin |
Dementia
|
0,379 |
0,065 |
N-Methylisatin-3-thiosemicarbazone |
Dementia
|
0,253 |
0,218 |
SWISS ADME is an online tool used to predict the pharmacokinetics, drug-likeness, and physicochemical properties of small molecules. Developed by the Swiss Institute of Bioinformatics (SIB), it provides important insights into how a compound might behave in the body, which is essential in drug discovery and development. Here are the key features and components of SWISS ADME:
Table 5: Prediction of pharmacokinetic properties using SWISS ADME
Compound |
Log p |
Log s |
GI absorption |
BBB permeation |
Log Kp |
Bioavailability |
3-[2-(4-fluorophenyl) hydrazinyl]indol-2-one |
2.39 |
-4.33 |
High |
Yes |
-5.09 |
0.55 |
5,7-dibromo-n-(p-methoxybenzyl)isatin |
2.7 |
-5.04 |
High |
Yes |
-6.23 |
0.55 |
N-Methylisatin-3-thiosemicarbazone |
1.95 |
-2.84 |
High |
No |
-6.3 |
0.55 |
Conventional Synthesis Of Modified Molecules
1.Synthesis of N-Methylisatin-3-thiosemicarbazone
N-Methyl isatin Thiosemicarbazone N-Methylisatin-3-thiosemicarbazone
2.Synthesis of 3-[2-(4-fluorophenyl)hydrazinyl]indol-2-one
Isatin 4-Fluorophenyl hydrazine 3-[2-(4-fluorophenyl)hydrazinyl]-indol-2-one
3.Synthesis of 5,7-dibromo-n-(p-methoxybenzyl) isatin
Isatin 5,7-dibromo isatin p-methoxy 5,7-dibromo-n-(p-metho
Benzyl chloride xybenzyl) isatin
CONCLUSION
ACKNOWLEDGEMENT
We humbly owe the completion of this dissertation work to the almighty GOD who always guided, protected and least at very moment of our life with our steadfast love.
This thesis has been kept on track and seen through to completion with the support and encouragement of numerous people. The end of our thesis, it is a pleasant task to express our thanks to all those who contributed in many ways for the success of this study and it's a memorable experience for us. We are grateful to the Management of Rajiv Gandhi Institute of Pharmaceutical Sciences and Research, Trikaripur for supporting us throughout our dissertation period. It is a delightful moment for us to express our heartfelt gratitude and sincere thanks to our esteemed guide Swathi k P, M. PHARM, Assoc. Professor, Department of Pharmaceutical Chemistry, Rajiv Gandhi Institute of Pharmacy for her constant guidance, personal attention valuable suggestions, encouragement, and support throughout our study.
REFERENCES
Gayathri*, Ahammad Yaseen MTP, Haseeba Palakkodan, Rithika Divyan, Swathi K. P., Anti-Amyloid Aggregation Activity of Isatin Derivatives: An Implication for Alzheimer’s Drug Discovery, Int. J. of Pharm. Sci., 2024, Vol 2, Issue 12, 3269-3279. https://doi.org/10.5281/zenodo.14565105