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Designing Novel Compounds for the Treatment and Management of RET-Positive Non-Small Cell Lung Cancer-Fragment Based Drug Design Strategy

Molecules (Basel, Switzerland), 2022-02, Vol.27 (5), p.1590

2022

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Prediction of Micronucleus Assay Outcome Using In Vivo Activity Data and Molecular Structure Features

Applied biochemistry and biotechnology, 2021-12, Vol.193 (12), p.4018-4034

2021

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A molecular modeling study to identify novel anticancer phytocompounds against the Tankyrase 1 protein

Research Journal of Biotechnology, 2024-07, Vol.19 (7), p.18-34

2024

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Discovery of small molecule modulators targeting β-catenin interactions using molecular docking and molecular dynamics strategy

Research Journal of Biotechnology, 2023-10, Vol.18 (10), p.24-34

2023

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Molecular modeling study combined with deep learning approach for the identification of potent β-catenin inhibitors

Research Journal of Biotechnology, 2023-10, Vol.18 (10), p.48-59

2023

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Identification of differentially expressed hub genes in Alzheimer’s disease using microarray dataset

Research Journal of Biotechnology, 2023-10, Vol.18 (10), p.77-86

2023

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Tackling suppressive cancer microenvironment by NARF-derived immune modulatory vaccine and its validation using simulation strategies

Frontiers in physics, 2024-02, Vol.12

2024

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Hastening natural product-based therapeutics for cancer treatment using in silico strategy

Research Journal of Chemistry and Environment, 2022-08, Vol.26 (8), p.10-29

2022

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Molecular simulation approach integrated with deep learning model for the discovery of Tankyrase inhibitors

Research Journal of Biotechnology, 2021-11, Vol.16 (11), p.83-98

2021

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In-silico bioprospecting of secondary metabolites from endophytic Streptomyces spp. against Magnaporthe oryzae, a cereal killer fungus

3 Biotech, 2024, Vol.14 (1), p.15-15, Article 15

2024

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Quinolones and Fluoroquinolones to Treat Salmonella Typhimurium: A Review of Metabolism and Pharmacokinetics

Current drug metabolism, 2017-12, Vol.18 (12), p.1085-1094

2017

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Discovery of a Potent Candidate for RET-Specific Non-Small-Cell Lung Cancer—A Combined In Silico and In Vitro Strategy

Pharmaceutics, 2021-10, Vol.13 (11), p.1775

2021

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Development of machine learning models for post-operative recurrence prediction in lung cancer patients

Research Journal of Biotechnology, 2023-10, Vol.18 (10), p.227-234

2023

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Screening Streptomyces secondary metabolites against non-small cell lung cancer using computational approaches

Research Journal of Biotechnology, 2023-10, Vol.18 (10), p.92-106

2023

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Design of a potential Sema4A-based multi-epitope vaccine to combat triple-negative breast cancer: an immunoinformatic approach

Medical oncology (Northwood, London, England), 2023-02, Vol.40 (3), p.105-105, Article 105

2023

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Prediction and validation of survival rate of metachronous second primary lung cancer patients using machine learning classifiers

Smart science, 2023-04, Vol.11 (2), p.395-407

2023

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Sequential virtual screening collaborated with machine-learning strategies for the discovery of precise medicine against non-small cell lung cancer

Journal of biomolecular structure & dynamics, 2024-01, Vol.42 (2), p.615-628

2024

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Machine learning driven drug repurposing strategy for identification of potential RET inhibitors against non-small cell lung cancer

Medical oncology (Northwood, London, England), 2022-12, Vol.40 (1), p.56, Article 56

2022

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Computational biophysics approach towards the discovery of multi-kinase blockers for the management of MAPK pathway dysregulation

Molecular diversity, 2023-10, Vol.27 (5), p.2093-2110

2023

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Exploring the potential of Halalkalibacterium halodurans laccase for endosulfan and chlorophacinone degradation: insights from molecular docking and molecular dynamics simulations

Journal of biomolecular structure & dynamics, 2023-11, p.1-15

2023

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Identification of novel neuraminidase inhibitors through e-pharmacophore based virtual screening

International journal of computational biology and drug design, 2020, Vol.13 (4), p.359

2020

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Identification of novel neuraminidase inhibitors through e-pharmacophore based virtual screening

International journal of computational biology and drug design, 2020, Vol.13 (4), p.359

2020

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Transcriptome profiling and metabolic pathway analysis towards reliable biomarker discovery in early-stage lung cancer

Journal of applied genetics, 2024-03

2024

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Current progress and future perspectives of polypharmacology : From the view of non-small cell lung cancer

Seminars in cancer biology, 2021-01, Vol.68, p.84-91

2021

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Gene expression profiling of corona virus microarray datasets to identify crucial targets in COVID-19 patients

Gene reports, 2021-03, Vol.22, p.100980-100980, Article 100980

2021

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Designing Novel Compounds for the Treatment and Management of RET-Positive Non-Small Cell Lung Cancer-Fragment Based Drug Design Strategy

Prediction of Micronucleus Assay Outcome Using In Vivo Activity Data and Molecular Structure Features

A molecular modeling study to identify novel anticancer phytocompounds against the Tankyrase 1 protein

Discovery of small molecule modulators targeting β-catenin interactions using molecular docking and molecular dynamics strategy

Molecular modeling study combined with deep learning approach for the identification of potent β-catenin inhibitors

Identification of differentially expressed hub genes in Alzheimer’s disease using microarray dataset

Tackling suppressive cancer microenvironment by NARF-derived immune modulatory vaccine and its validation using simulation strategies

Hastening natural product-based therapeutics for cancer treatment using in silico strategy

Molecular simulation approach integrated with deep learning model for the discovery of Tankyrase inhibitors

In-silico bioprospecting of secondary metabolites from endophytic Streptomyces spp. against Magnaporthe oryzae, a cereal killer fungus

Quinolones and Fluoroquinolones to Treat Salmonella Typhimurium: A Review of Metabolism and Pharmacokinetics

Discovery of a Potent Candidate for RET-Specific Non-Small-Cell Lung Cancer—A Combined In Silico and In Vitro Strategy

Development of machine learning models for post-operative recurrence prediction in lung cancer patients

Screening Streptomyces secondary metabolites against non-small cell lung cancer using computational approaches

Design of a potential Sema4A-based multi-epitope vaccine to combat triple-negative breast cancer: an immunoinformatic approach

Prediction and validation of survival rate of metachronous second primary lung cancer patients using machine learning classifiers

Sequential virtual screening collaborated with machine-learning strategies for the discovery of precise medicine against non-small cell lung cancer

Machine learning driven drug repurposing strategy for identification of potential RET inhibitors against non-small cell lung cancer

Computational biophysics approach towards the discovery of multi-kinase blockers for the management of MAPK pathway dysregulation

Exploring the potential of Halalkalibacterium halodurans laccase for endosulfan and chlorophacinone degradation: insights from molecular docking and molecular dynamics simulations

Identification of novel neuraminidase inhibitors through e-pharmacophore based virtual screening

Identification of novel neuraminidase inhibitors through e-pharmacophore based virtual screening

Transcriptome profiling and metabolic pathway analysis towards reliable biomarker discovery in early-stage lung cancer

Current progress and future perspectives of polypharmacology : From the view of non-small cell lung cancer

Gene expression profiling of corona virus microarray datasets to identify crucial targets in COVID-19 patients

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