STM
Journals

Research & Reviews: A Journal of Bioinformatics


Special Issue

“Medical”

Research & Reviews: A Journal of Bioinformatics

Bioinformatics tools and applications

Abstract Deadline
November 30, 2024

Manuscript Deadline
December 25, 2024


Special Issue

“Medical”

Research & Reviews: A Journal of Bioinformatics

Biomarkers identification technology and future aspects

Abstract Deadline
30/11/2023

Manuscript Deadline
25/12/2023


Special Issue

“Medical”

Research & Reviews: A Journal of Bioinformatics

New methods for relevant applications in drug design

Abstract Deadline
30/11/2023

Manuscript Deadline
25/12/2023


Special Issue

“Medical”

Research & Reviews: A Journal of Bioinformatics

Emerging chemical, biological, and drug design concepts that are significant to pharmacology, ADMET, and drug delivery.

Abstract Deadline
30/11/2023

Manuscript Deadline
25/12/2023


Special Issue

“Medical”

Research & Reviews: A Journal of Bioinformatics

Molecular dynamic simulations are used for drug design

Abstract Deadline
30/11/2023

Manuscript Deadline
25/12/2023


Special Issue

“Medical”

Research & Reviews: A Journal of Bioinformatics

Development methods and implementation of genetic algorithms

Abstract Deadline
30/11/2023

Manuscript Deadline
25/12/2023






Publisher


[1570] E-mail: [email protected] (Tel) (+91) 0120- 4781 200 (Mob) (+91) 9810078958, +919667725932

About the Journal

(RRJOBI) is an interdisciplinary peer-reviewed open access journal launched in 2014 serving in fields involving Biology, Computer Science and Statistics. This Journal focuses on the Research, Review works, and recent developments in the area of Bioinformatics, and its applications. View Full Focus and Scope...

Journal Particulars

Title
Research & Reviews: A Journal of Bioinformatics
Journal Abbreviation
RRJOBI
Issues Per Year (Frequency)
3 (Jan-April,May-August,Sept-Dec)
ISSN
2393-8722
Impact Factor(SJIF)
6.132
Publisher
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
Chief Editor
Dr. Afroz Alam
DOI
10.37591/RRJoBI
Copyright
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
Starting Year
2014
Subject
Medical
Language
English
Publication Format
Hybrid Open Access
Type of Publication
Peer-reviewed Journal (Refereed Journal)
Phone No.
+91 120 478 1208
Website
https://journals.stmjournals.com/rrjobi/
Address
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin – 201301
Indexing
Cite Factor, Directory of Research Journals Indexing (DRJI), Google Scholar, Index Copernicus, Journal TOCs, Scientific Indexing Services (SIS), SJIF
Latest Article

Volume: 13, Issue: 02, Year: 2026

Regular Issue  Subscription Original Research Published on :- 04/05/2026

Swati Dixit, Mahi Singh Chauhan, Padmini Mishra, Archana Dwivedi
Keywords: Diabetes Mellitus, Type 2 Diabetes (T2D), Early Diagnosis, Artificial Intelligence, Machine Learning, Random Forest, Explainable AI, SHAP, LIME, Predictive Analytics, Lifestyle Risk Factors, Personalized Prevention.

Regular Issue  Subscription Review Article Published on :- 21/05/2026

Genius Walia
Keywords: Artificial intelligence, Generative Adversarial Networks, Tensor Decomposition, DNA Sequence Generation, Deep Generative Models

Regular Issue  Subscription Review Article Published on :- 27/08/2026

Ekta, Shruti Mathur, Shreya agarwal
Keywords: Health Outcome, Ensemble Learning, Feature Selection, Predictive Analytics, medical history

Regular Issue  Subscription Original Research Published on :- 27/08/2026

Naresh Kumar, Surendra Kumar Yadav, Dushyant Singh
Keywords: cardiovascular disease prediction, machine learning, deep learning, explainable AI, federated learning, clinical decision support

Regular Issue  Subscription Review Article Published on :- 27/08/2026

Amish Mishra, Anshika Singh, Ahmar Hassan, Yukti Sabikhi, Sanya Kaushik, Mohammad “Sufian” Badar
Keywords: Machine learning, Lung tumor classification, medical imaging, bioinformatics. Statistical analysis, Computational chemistry, Cancer Diagnosis

Special Issue

Editors Overview

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.

Open Access
Special Issue
Topic

New methods for relevant applications in drug design

Abstract Submission Deadline : 30/11/2023

Manuscript Submission Deadline : 25/12/2023

Special Issue Description

De novo drug design is a computational method for creating novel molecular structures from atomic building blocks with no prior knowledge of their relationships. Over the last three decades, software-based drug discovery and development methods have played a significant role in the development of bioactive compounds. These methods are conventional methods, including structure-based and ligand-based designs, which are based on the properties of a biological target’s active site or known active binders, respectively. Artificial intelligence, including machine learning, is a developing field that has had a positive impact on drug discovery. Deep reinforcement learning is a subset of machine learning in which artificial neural networks are combined with reinforcement-learning architectures. This method has been used successfully to develop novel de novo drug design approaches by utilizing a variety of artificial networks such as recurrent neural networks, convolutional neural networks, generative adversarial networks, and autoencoders. Other than AI there are other novels software-based methods such as molecular modeling, structure-based drug design, structure-based virtual screening, ligand interaction, and molecular dynamics that are regarded as powerful tools for studying drug pharmacokinetic and pharmacodynamic properties, as well as the structural activity relationship between a ligand and its target.

Keywords

Artificial intelligence, Ligand targets drug discovery, De novo drug design, Machine learning, Computational methods

Manuscript Submission information

Manuscripts should be submitted online via the manuscript Engine. Once you register on APID, click here to go to the submission form. Manuscripts can be submitted until the deadline.
All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the email address:[email protected] for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a Double-blind peer-review process. A guide for authors and other relevant information for the submission of manuscripts is available on the Instructions for Authors page.

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