Manoj Kumar Yadav (0000-0003-3219-0171)

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Dr. Manoj Kumar Yadav has been working as an Associate Professor, Department of Biomedical Engineering, SRM University, Delhi-NCR, Sonepat, since 2018. He has worked as an assistant professor of bioinformatics at Pt. Jawaharlal Nehru Memorial Medical College (Government Medical College), Raipur, from 2014 to 2018. Dr. Yadav completed his doctoral degree in bioinformatics at the prestigious Banaras Hindu University, Varanasi, in 2014 and secured his postgraduate and graduate degrees from the University of Allahabad, Allahabad. He had cleared the National Eligibility Test (NET) Exam twice in June 2008 and December 2009 and also qualified the Graduate Aptitude Test in Engineering (GATE) exam in 2009.
Dr. Yadav is an Honorary “Fellow of the Society of Life Sciences (F.S.L.Sc.)” from the National Society of Life Sciences, India. He has been actively involved in teaching as well as research in the area of bioinformatics and computational biology for more than 10 years. Dr. Yadav has published dozens of research and review papers in various peer-reviewed journals of international repute and also authored several books and book chapters. He has research experience in the application of machine learning and artificial intelligence in solving advanced classification problems, genome-wide study to identify the role of different factors shaping codon usage bias in human infecting Plasmodium species, identification of potent drug targets and inhibitor design using computational methods, and study of macro-molecular interactions using molecular dynamics simulation and computer-aided drug design. Dr. Yadav has completed several projects, including one on COVID-19 funded by the Science and Engineering Research Board (SERB), GOI, as a principal investigator.
Email ID: manoj.yadav@srmuniversity.ac.in
manojiids@gmail.com
Mobile: +91-7581911917

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SRM University Delhi-NCR, Sonepat: Sonepat, Haryana, IN

2024-08-01 to present | Associate Professor (Department of Biomedical Engineering)

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Manoj Kumar Yadav

https://orcid.org/0000-0003-3219-0171

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Employment (1)

SRM University Delhi-NCR, Sonepat: Sonepat, Haryana, IN

Education and qualifications (3)

Banaras Hindu University: Varanasi, Uttar Pradesh, IN

University of Allahabad Institute of Interdisciplinary Studies: Allahabad, Uttar Pradesh, IN

University of Allahabad Faculty of Science: Allahabad, Uttar Pradesh, IN

Funding (1)

Drug repurposing against key COVID-19 Drug Targets using advance Machine Learning based algorithms

Works (32)

Deep learning in predictive medicine: Current state of the art

The current landscape of aromatase inhibitors for the treatment of estrogen receptor-positive breast carcinoma

Application of machine learning–based approaches in stem cell research

Beispielhafte Implikationen von naturinspirierten Berechnungsmethoden auf Therapeutika und computergestützte Arzneimittelentwicklung

Unleashing the future: The revolutionary role of machine learning and artificial intelligence in drug discovery

Structure‐Guided Identification of Novel Aromatase Inhibitors Targeting Breast Carcinoma

Nanotherapeutics for Inflammatory Arthritis

Structure-based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation, and Metabolic Reactivity Studies of Quinazoline Derivatives for their Anti-EGFR Activity Against Tumor Angiogenesis

Illustrious Implications of Nature-Inspired Computing Methods in Therapeutics and Computer-Aided Drug Design

Nature-Inspired Computing in Breast Cancer Research: Overview, Perspective, and Challenges of the State-of-the-Art Techniques

Reporting dinaciclib and theodrenaline as a multitargeted inhibitor against SARS-CoV-2: an in-silico study

Predictive modeling and therapeutic repurposing of natural compounds against the receptor-binding domain of SARS-CoV-2

A Drug Repurposing Approach to Identify Therapeutics by Screening Pathogen Box Exploiting SARS‐CoV‐2 Main Protease

Clinical Applications of Protein-Based Therapeutics

Therapeutic Protein-Based Vaccines

Novel Insights into Understanding the Molecular Dialogues between Bipolaroxin and the Gα and Gβ Subunits of the Wheat Heterotrimeric G-Protein during Host–Pathogen Interaction

Multitargeted Molecular Dynamic Understanding of Butoxypheser Against SARS-CoV-2: An in Silico Study

Biocomputational Assessment of Natural Compounds as a Potent Inhibitor to Quorum Sensors in Ralstonia solanacearum

Impact of ErbB Receptors and Anticancer Drugs against Breast Cancer: A Review

Discovery of novel inhibitors targeting Plasmodium knowlesi dihydrofolate reductase using molecular docking and molecular dynamics simulation

Delineation of molecular interactions of plant growth promoting bacteria induced β-1,3-glucanases and guanosine triphosphate ligand for antifungal response in rice: a molecular dynamics approach

Genome-wide characterization and identification of synonymous codon usage patterns in Plasmodium knowlesi

Exploration and identification of novel inhibitors against Knowpain-4 of P. knowlesi using a combinatorial 3D pharmacophore modeling approach

Low-dose naltrexone rescues inflammation and insulin resistance associated with hyperinsulinemia

Identification and characterization of ErbB4 kinase inhibitors for effective breast cancer therapy

Targeting pyrimidine pathway of Plasmodium knowlesi: new strategies towards identification of novel antimalarial chemotherapeutic agents.

Current status of comparative genomics and inhibitors of plasmodium species: A systematic review

In Silico Study of Variable Surface Proteins in Plasmodium Species: Perspectives in Drug Design

A knowledge-based approach for identification of drugs against vivapain-2 protein of Plasmodium vivax through pharmacophore-based virtual screening with comparative modelling

Polymorphic signature of the anti-inflammatory activity of 2,2′-{[1,2-Phenylenebis(methylene)]bis(sulfanediyl)}bis(4, 6-dimethylnicotinonitrile)

Drug target prioritization in Plasmodium Falciparum through metabolic network analysis, and inhibitor designing using virtual screening and docking approach

Comparative genome analysis of six malarial parasites using codon usage bias based tools.

Peer review (8 reviews for 4 publications/grants)