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Research and Reviews : Journal of Computational Biology Cover

Research and Reviews : Journal of Computational Biology

E-ISSN: 2319-3433 | P-ISSN: 2349-3720 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Research and Reviews : Journal of Computational Biology [2319-3433(e)] is a peer-reviewed hybrid open-access journal launched in 2012 focused on the publication of current research work carried out under computational Biology. This journal covers all major fields of applications in Computational Biology.

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Journal Information

Title: Research and Reviews : Journal of Computational Biology
Abbreviation: rrjocb
Issues Per Year: 3 Issues
P-ISSN: 2349-3720
E-ISSN: 2319-3433
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/RRJOCB
Starting Year: 2012
Subject: Computational Biology
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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rrjocb maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Uday M. Muddapur, Professor

KLEDR. M.S.S. College of Engineering and Technology, , ,

Email :

Institutional Profile Link:

Journal: Research and Reviews : Journal of Computational Biology

Latest Articles

Ahead of Print

Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally

Mangrove ecosystems are critical blue carbon habitats that host diverse microbial communities responsible for carbon cycling and long-term storage.

Mangrove Microbiome; Carbon Sequestration; Deep Learning; CNN; RNN; Sustainable AI; QIIME2

Modernizing Pharmacovigilance: Leveraging AI, Automation, and Real-World Data for Drug Safety

Pharmacovigilance, or PV, is “the pharmacological science relating to the detection, assessment, understanding, and prevention of adverse effects, mainly long term and short-term adverse effects of medicines.” PV’s specific objectives are to increase patient care and safety when using medications and all medical and paramedical therapies; assist in evaluating the benefits, drawbacks, efficacy, and risks of medications, ensuring their safe, prudent, and more effective use; and promote clinical training, education, and pharmacovigilance, as well as its successful public dissemination.

Keywords: Adverse drug reaction (ADR), artificial intelligence (AI), biomarkers, genomic study, pharmacovigilance, wearable devices.

Modernizing Pharmacovigilance: Leveraging AI, Automation, and Real-World Data for Drug Safety

Pharmacovigilance, or PV, is “the pharmacological science relating to the detection, assessment, understanding, and prevention of adverse effects, mainly long term and short-term adverse effects of medicines.” PV’s specific objectives are to increase patient care and safety when using medications and all medical and paramedical therapies; assist in evaluating the benefits, drawbacks, efficacy, and risks of medications, ensuring their safe, prudent, and more effective use; and promote clinical training, education, and pharmacovigilance, as well as its successful public dissemination.

Keywords: Adverse drug reaction (ADR), artificial intelligence (AI), biomarkers, genomic study, pharmacovigilance, wearable devices.

Computational Exploration of Aristolochia indica Bioactive Compounds Against Snake Venom Proteins Using Docking and Dynamics Simulations

Snakebite envenoming is a neglected health threat impacting millions of people each year especially in tropical and subtropical countries.

Aristolochia indica, Phospholipase A2, Metalloproteinases, L- amino acid oxidase, three finger toxins.

Modernizing Pharmacovigilance: Leveraging AI, Automation, and Real-World Data for Drug Safety.

Pharmacovigilance, or PV, is the pharmacological science relating to the detection, assessment, understanding and prevention of adverse effects, mainly long term and short-term adverse effects of medicines specific objectives are to: increase patient care and safety when using medications and all medical and paramedical
therapies

Adverse Drug Reaction (ADR), Artificial Intelligence (AI), Biomarkers, Genomic Study, Pharmacovigilance, Wearable Devices.

Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis

Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease

Alzheimer's Disease, CNN, Deep Learning, Ensemble Learning, MRI