Rajdeep Dey
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Rajdeep Dey has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Hardik Girishkumar Bhatt
Department of Pharmaceutical Chemistry, Institute of Pharmacy, Nirma University, Ahmedabad, India
8 shared publications - Bhumika Patel
Department of Pharmaceutical Chemistry, Institute of Pharmacy, Nirma University, Ahmedabad 382481, Gujarat, India
6 shared publications - Suman Shaw
Department of Pharmaceutical Chemistry Institute of Pharmacy Nirma University Ahmedabad Gujarat 382 481 India
5 shared publications - Udit Chaube
Department of Pharmaceutical Chemistry, Institute of Pharmacy, Nirma University
4 shared publications - Gopal Natesan
Department of Pharmaceutical Chemistry Institute of Pharmacy Nirma University Ahmedabad Gujarat 382 481 India
3 shared publications - Nandan Dixit
Department of Botany, Bioinformatics and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, India
3 shared publications
Latest Publications
- 10 January 2026
- Published by Springer Nature in Chemical Papers
- Vol. 80 (3) , 3165-3187
Mechanistic exploration of dog bone-shaped tacrine analogues as telomerase inhibitors via 3D-QSAR, MD simulations, and energy landscape analysis
- 10 January 2026
- Published by Springer Nature in Chemical Papers
- Vol. 80 (3) , 3165-3187
Mechanistic exploration of dog bone-shaped tacrine analogues as telomerase inhibitors via 3D-QSAR, MD simulations, and energy landscape analysis
- 22 September 2025
- Published by Wiley in ChemistrySelect
- Vol. 10 (36)
In Search of PI3K Inhibitors as Anticancer Agents: Molecular Modelling Through Virtual Screening, ADMET, and Molecular Dynamics Simulations
Cancer remains one of the leading causes of death worldwide, with current therapies often limited by side effects, recurrence of metastatic cancer, and poor patient compliance. The urgent need for new anticancer agents with novel mechanisms of action has made phosphoinositide 3‐kinase (PI3K) a promising target due to its role in cell growth, proliferation, and survival. In this study, we employed a comprehensive computational approach, beginning with the generation of a 3D pharmacophore model of PI3K using atomic property field (APF) alignment of two crystal structures (PDB IDs: 4L23 and 8TSC). Virtual screening of 2,500 MolScreen ligands and 2,431,025 ChEMBL ligands was performed, identifying 350 ligands with promising interactions with PI3K. ADMET analysis and docking scores were calculated for these, and 200 ligands showed favorable pharmacokinetic or drug‐like properties. Among them, CHEMBL2163908 emerged as the top candidate, exhibiting the highest docking score and promising drug‐likeness properties. Further molecular dynamics (MD) simulations of CHEMBL2163908 for 200 ns confirmed its stable binding at the PI3K active site. These findings highlight CHEMBL2163908 as a potential lead for the development of novel PI3K inhibitors in anticancer therapy.
- 22 September 2025
- Published by Wiley in ChemistrySelect
- Vol. 10 (36)
In Search of PI3K Inhibitors as Anticancer Agents: Molecular Modelling Through Virtual Screening, ADMET, and Molecular Dynamics Simulations
Cancer remains one of the leading causes of death worldwide, with current therapies often limited by side effects, recurrence of metastatic cancer, and poor patient compliance. The urgent need for new anticancer agents with novel mechanisms of action has made phosphoinositide 3‐kinase (PI3K) a promising target due to its role in cell growth, proliferation, and survival. In this study, we employed a comprehensive computational approach, beginning with the generation of a 3D pharmacophore model of PI3K using atomic property field (APF) alignment of two crystal structures (PDB IDs: 4L23 and 8TSC). Virtual screening of 2,500 MolScreen ligands and 2,431,025 ChEMBL ligands was performed, identifying 350 ligands with promising interactions with PI3K. ADMET analysis and docking scores were calculated for these, and 200 ligands showed favorable pharmacokinetic or drug‐like properties. Among them, CHEMBL2163908 emerged as the top candidate, exhibiting the highest docking score and promising drug‐likeness properties. Further molecular dynamics (MD) simulations of CHEMBL2163908 for 200 ns confirmed its stable binding at the PI3K active site. These findings highlight CHEMBL2163908 as a potential lead for the development of novel PI3K inhibitors in anticancer therapy.
- Open Access
Morpholine-Substituted Tetrahydroquinoline Derivatives as Potential mTOR Inhibitors: Synthesis, Computational Insights, and Cellular Analysis
Backgrounds: This study explores the design of substituted tetrahydroquinoline (THQ) derivatives and their synthesis as possible inhibitors of mTOR inhibitors for targeted cancer therapy. Methods: Inspired by the structural characteristics of known mTOR inhibitors, eight novel derivatives were synthesized, characterized using mass spectroscopy, 1H, and 13C NMR, and evaluated for anticancer activity. Results: Computational studies, including molecular docking and molecular dynamics (MD) simulations, highlighted the derivative’s strong binding interaction and stability within the mTOR active site. Assays for in vitro cytotoxicity showed strong and specific anticancer action against cell lines of triple-negative breast cancer, lung cancer, and breast cancer while causing negligible impact on healthy cells. Conclusions: Compound 10e emerged as the most promising candidate, displaying exceptional activity against A549 cells (IC50 = 0.033 µM) and inducing apoptosis in a dose-dependent manner, surpassing standard agents, like Everolimus and 5-flurouracil. Structure–activity relationship analysis revealed that incorporating trifluoromethyl and morpholine moieties significantly enhanced selectivity and potency. MD simulations further validated these findings, confirming stable protein-ligand interactions and favorable dynamics over a 100-ns simulation period. Collectively, this study underscores the therapeutic potential of THQ derivatives, particularly compound 10e, as promising mTOR inhibitors with potential applications in lung cancer treatment.
Open AccessMorpholine-Substituted Tetrahydroquinoline Derivatives as Potential mTOR Inhibitors: Synthesis, Computational Insights, and Cellular Analysis
Backgrounds: This study explores the design of substituted tetrahydroquinoline (THQ) derivatives and their synthesis as possible inhibitors of mTOR inhibitors for targeted cancer therapy. Methods: Inspired by the structural characteristics of known mTOR inhibitors, eight novel derivatives were synthesized, characterized using mass spectroscopy, 1H, and 13C NMR, and evaluated for anticancer activity. Results: Computational studies, including molecular docking and molecular dynamics (MD) simulations, highlighted the derivative’s strong binding interaction and stability within the mTOR active site. Assays for in vitro cytotoxicity showed strong and specific anticancer action against cell lines of triple-negative breast cancer, lung cancer, and breast cancer while causing negligible impact on healthy cells. Conclusions: Compound 10e emerged as the most promising candidate, displaying exceptional activity against A549 cells (IC50 = 0.033 µM) and inducing apoptosis in a dose-dependent manner, surpassing standard agents, like Everolimus and 5-flurouracil. Structure–activity relationship analysis revealed that incorporating trifluoromethyl and morpholine moieties significantly enhanced selectivity and potency. MD simulations further validated these findings, confirming stable protein-ligand interactions and favorable dynamics over a 100-ns simulation period. Collectively, this study underscores the therapeutic potential of THQ derivatives, particularly compound 10e, as promising mTOR inhibitors with potential applications in lung cancer treatment.
- Open Access
- 27 January 2025
- Published by MDPI AG in Preprints.org
Morpholine-Substituted Tetrahydroquinoline Derivatives as Potential mTOR Inhibitors: Synthesis, Computational Insights, and Cellular Analysis
This study explores the design and synthesis of substituted tetrahydroquinoline (THQ) derivatives as potential mTOR inhibitors for targeted cancer therapy. Inspired by the structural characteristics of known mTOR inhibitors, eight novel derivatives were synthesized, characterized using advanced spectroscopic techniques, and evaluated for anticancer activity. Computational studies, including molecular docking and molecular dynamics (MD) simulations, highlighted the derivative's strong binding affinity and stability within the mTOR active site. In-vitro cytotoxicity assays demonstrated potent and selective anticancer activity against A549, MCF-7, and MDA-MB-231 cancer cell lines, with minimal toxicity toward normal cells. Compound 10e emerged as the most promising candidate, displaying exceptional activity against A549 cells (IC₅₀ = 0.033 µM) and inducing apoptosis in a dose-dependent manner, surpassing standard agents like Everolimus and 5 Flurouracil. Structure-activity relationship analysis revealed that incorporating trifluoromethyl and morpholine moieties significantly enhanced selectivity and potency. MD simulations further validated these findings, confirming stable protein-ligand interactions and favorable dynamics over a 100-ns simulation period. Collectively, this study underscores the therapeutic potential of THQ derivatives, particularly compound 10e, as promising mTOR inhibitors with potential applications in lung cancer treatment.
- 27 January 2025
- Published by MDPI AG in Preprints.org
Open AccessMorpholine-Substituted Tetrahydroquinoline Derivatives as Potential mTOR Inhibitors: Synthesis, Computational Insights, and Cellular Analysis
This study explores the design and synthesis of substituted tetrahydroquinoline (THQ) derivatives as potential mTOR inhibitors for targeted cancer therapy. Inspired by the structural characteristics of known mTOR inhibitors, eight novel derivatives were synthesized, characterized using advanced spectroscopic techniques, and evaluated for anticancer activity. Computational studies, including molecular docking and molecular dynamics (MD) simulations, highlighted the derivative's strong binding affinity and stability within the mTOR active site. In-vitro cytotoxicity assays demonstrated potent and selective anticancer activity against A549, MCF-7, and MDA-MB-231 cancer cell lines, with minimal toxicity toward normal cells. Compound 10e emerged as the most promising candidate, displaying exceptional activity against A549 cells (IC₅₀ = 0.033 µM) and inducing apoptosis in a dose-dependent manner, surpassing standard agents like Everolimus and 5 Flurouracil. Structure-activity relationship analysis revealed that incorporating trifluoromethyl and morpholine moieties significantly enhanced selectivity and potency. MD simulations further validated these findings, confirming stable protein-ligand interactions and favorable dynamics over a 100-ns simulation period. Collectively, this study underscores the therapeutic potential of THQ derivatives, particularly compound 10e, as promising mTOR inhibitors with potential applications in lung cancer treatment.
- 17 December 2024
- Published by Wiley in ChemistrySelect
- Vol. 9 (47)
Evolution of Telomerase Inhibitors: A Review on Key Patents from 2015 to 2023
Telomerase (TERT) is a ribonucleoprotein that regulates telomere length and maintains chromosomal integrity. TERT is a widely expressed protein for replicative immortality in most malignant tumours. TERT is a protein produced by cancer cells that prevents telomere shortening by adding telomere sequences beyond the Hayflick limit, allowing them to divide in an uncontrolled manner. Inhibition of the TERT enzyme is a recognised therapy for treating cancer. The basic objective of the review is to collectively represent the current scenario of treating cancer by inhibiting TERT. With a focus on the recently patented TERT inhibitors and clinical trial data released between 2015 and 2023, this review highlights the work relevant to the development of TERT inhibitors. Furthermore, recent advancements in the clinical development of TERT inhibitors, along with prospective new combinations, are also discussed. The use of TERT inhibitors in cancer therapy has been granted with great interest and significant attention by researchers along with a promising outcome in terms of therapeutic value. Several clinical trial applications and their data gave strong evidence of the use of TERT inhibitors for cancer therapy which provided target therapies, vaccine therapies, nucleoside, non‐nucleoside therapies, and so forth with reduced side effects and enhanced potency.
- 17 December 2024
- Published by Wiley in ChemistrySelect
- Vol. 9 (47)
Evolution of Telomerase Inhibitors: A Review on Key Patents from 2015 to 2023
Telomerase (TERT) is a ribonucleoprotein that regulates telomere length and maintains chromosomal integrity. TERT is a widely expressed protein for replicative immortality in most malignant tumours. TERT is a protein produced by cancer cells that prevents telomere shortening by adding telomere sequences beyond the Hayflick limit, allowing them to divide in an uncontrolled manner. Inhibition of the TERT enzyme is a recognised therapy for treating cancer. The basic objective of the review is to collectively represent the current scenario of treating cancer by inhibiting TERT. With a focus on the recently patented TERT inhibitors and clinical trial data released between 2015 and 2023, this review highlights the work relevant to the development of TERT inhibitors. Furthermore, recent advancements in the clinical development of TERT inhibitors, along with prospective new combinations, are also discussed. The use of TERT inhibitors in cancer therapy has been granted with great interest and significant attention by researchers along with a promising outcome in terms of therapeutic value. Several clinical trial applications and their data gave strong evidence of the use of TERT inhibitors for cancer therapy which provided target therapies, vaccine therapies, nucleoside, non‐nucleoside therapies, and so forth with reduced side effects and enhanced potency.
- 14 February 2024
- Published by Wiley in ChemistrySelect
- Vol. 9 (7)
Designing of target‐specific N ‐substituted tetrahydroquinoline derivatives as potent mTOR inhibitors via integrated structure‐guided computational approaches
There is a need to develop innovative, safe, and more effective treatment methods for lung cancer due to obstacles including resistance, side effects, and low bioavailability, among others related to present medicines. Our previous research findings gave some promising results of tetrahydroquinoline (THQ) derivatives as mTOR inhibitors for the treatment of lung cancer. The current research has employed certain integrated computational techniques to enhance the effectiveness of THQ derivatives. Various computational methods, like the generation of the pharmacophore model, virtual screening, and QSAR modeling were employed to achieve the goal, and their results were connected to develop novel THQ analogues. This study revealed that among 48 newly designed THQ derivatives, the compound UC_1 indicated the XP Gscore of −9.378 kcal/mol and also showed the key amino acid interactions with the mTOR protein viz. Gln2167, Val2240. Interestingly, compound UC_1 showed a better binding affinity with the mTOR protein compared to the clinical trial molecules viz. AZD‐8055 and AZD‐2014. The molecular dynamics simulations (100 ns) along with each output give a shred of strong evidence that the designed THQ derivative (UC_1) has all the required features in terms of inhibiting mTOR protein for the treatment of lung cancer.
- 14 February 2024
- Published by Wiley in ChemistrySelect
- Vol. 9 (7)
Designing of target‐specific N ‐substituted tetrahydroquinoline derivatives as potent mTOR inhibitors via integrated structure‐guided computational approaches
There is a need to develop innovative, safe, and more effective treatment methods for lung cancer due to obstacles including resistance, side effects, and low bioavailability, among others related to present medicines. Our previous research findings gave some promising results of tetrahydroquinoline (THQ) derivatives as mTOR inhibitors for the treatment of lung cancer. The current research has employed certain integrated computational techniques to enhance the effectiveness of THQ derivatives. Various computational methods, like the generation of the pharmacophore model, virtual screening, and QSAR modeling were employed to achieve the goal, and their results were connected to develop novel THQ analogues. This study revealed that among 48 newly designed THQ derivatives, the compound UC_1 indicated the XP Gscore of −9.378 kcal/mol and also showed the key amino acid interactions with the mTOR protein viz. Gln2167, Val2240. Interestingly, compound UC_1 showed a better binding affinity with the mTOR protein compared to the clinical trial molecules viz. AZD‐8055 and AZD‐2014. The molecular dynamics simulations (100 ns) along with each output give a shred of strong evidence that the designed THQ derivative (UC_1) has all the required features in terms of inhibiting mTOR protein for the treatment of lung cancer.
- 20 December 2022
- Published by Taylor & Francis in Future Medicinal Chemistry
- Vol. 14 (23) , 1789-1809
Tetrahydroquinoline: An Efficient Scaffold As mTOR Inhibitor for the Treatment of Lung Cancer
Efforts have been made to find an efficient scaffold (and its substitution) that can be used for the treatment of lung cancer via mTOR inhibition. A detailed literature search was carried out for p... Graphical abstract
- 20 December 2022
- Published by Taylor & Francis in Future Medicinal Chemistry
- Vol. 14 (23) , 1789-1809
Tetrahydroquinoline: An Efficient Scaffold As mTOR Inhibitor for the Treatment of Lung Cancer
Efforts have been made to find an efficient scaffold (and its substitution) that can be used for the treatment of lung cancer via mTOR inhibition. A detailed literature search was carried out for p... Graphical abstract
- Open Access
- 30 March 2022
- Published by Tejass Publishers in IJARCCE
- Vol. 11 (3)
Determining the probability of poverty levels of the Indigenous Americans and Black Americans in US using Multiple Regression
- 30 March 2022
- Published by Tejass Publishers in IJARCCE
- Vol. 11 (3)
Open AccessDetermining the probability of poverty levels of the Indigenous Americans and Black Americans in US using Multiple Regression