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Navaneet Chaturvedi

Assistant Professor-II

Amity University Noida

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Research Interests

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Articles (18)

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2026

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2026

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2024

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2023

Collaborators (7)

Kshitij Parmar

Assistant Professor

Amity University Noida

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Rachana Singh

Amity University Noida

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Shafiul Haque

Professor

jazan university

SAUDI ARABIA

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Manish Kumar Tripathi

Research Associate

All India Institute of Medical Sciences

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Ahmad O Babalghith

Professor

umm al-qura university

SAUDI ARABIA

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Laurent Dufossé

Senior Researcher

Université de la Réunion

FRANCE

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Ajay Kumar

Assistant Professor

Amity University Noida

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Navaneet Chaturvedi

Research Interests

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Articles (18)

Leveraging Advanced AI Frameworks for Dual PPAR α/γ Agonist Discovery in Alzheimer’s Disease

Chlorpyrifos degradation by Zhihengliuella sp. ISTPL4: An esterase-driven actinobacterial platform for organophosphorus bioremediation

Comparative structural, evolutionary, and functional insights into rice γ-glutamyl cyclotransferases reveal differential stability and stress-responsive expression

From Cheminformatics to Large Language Models: Emerging Paradigms in Food Chemical Toxicity Prediction

Molecular Dynamics-Driven Optimization of Triterpenoid, Amidinium, and Flavonoid Inhibitors Targeting Dengue NS2B-NS3 Protease

Machine learning innovations for accurate crop yield forecasting

Machine learning models for crop yield prediction

Heavy Metal Toxicity in Cereals: Uptake Mechanisms, Physiological Impacts, and Mitigation Strategies

Advancements in protein structure prediction: A comparative overview of AlphaFold and its derivatives

AI in infectious disease diagnosis and vaccine development

AI-driven antimicrobial peptides for drug development

Screening of Microbial Biocontrol Agents Using Traditional and In Silico Approaches

Unleashing the Future: The Revolutionary Role of Machine Learning and Artificial Intelligence in Drug Discovery

AI-based advances in crop disease detection and health improvement

AI-driven microbial medicine development

Applications of artificial intelligence and machine learning in microbial diagnostics and identification

Leveraging artificial intelligence (AI) and machine learning (ML) for enhanced drug discovery and development from microbes

Mushrooms Against Malignancies: from Chemosensitization to Immunopotentiation

Collaborators (7)

Kshitij Parmar

Rachana Singh

Shafiul Haque

Manish Kumar Tripathi

Ahmad O Babalghith

Laurent Dufossé

Ajay Kumar

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