Research and Reviews : Journal of Computational Biology
Bio Technology ISSN 2319-3433 3 issues a year Hybrid open access
About the journal
Research and Reviews : Journal of Computational Biology 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.
Journal metrics
Counted from this archive, not supplied by anyone.
- 46Articles published
- 9Published in 2026
- 83Authors
- 6Open access
Journal information
- Title
- Research and Reviews : Journal of Computational Biology
- Issues per year
- 3 issues
- ISSN
- 2319-3433
- Publisher
- STM Journals
- Starting year
- 2024
- Subject
- Bio Technology
- Publication format
- Hybrid open access
- Language
- English
- Type
- Peer-reviewed journal (refereed)
Indexed in
Editorial board
-
Editor-in-Chief
Dr. Uday M. Muddapur
Biotechnology, KLEDR. M.S.S. College of Engineering and Technology
Latest articles
-
A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
-
Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
-
A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction
Abstract: In an earlier comparative study of machine-learning methods for genomic prediction of wheat grain yield, we reported a counter-intuitive result: automated nested-cross-validation tuning of the Lasso regularization penalty reduced mean predictive ability relative to a fixed, arbitrarily chosen penalty (mean Pearson r falling from 0.408 to 0.349 across four environments), the opposite of the expected effect of hyperparameter tuning. We hypothesized two possible explanations at the time — high-variance penalty …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
-
Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
-
Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
-
Transforming Rare Disease Diagnosis with AI
Abstract: Artificial intelligence is changing healthcare fast. It is making diagnoses accurate, helping doctors get better results, and streamlining how care works. This paper looks at how AI shows up in healthcare right now – where it is already making a difference, what is working, and what is still tricky. The focus is on machine learning, natural language processing, and computer vision. Particular attention is given to using AI in diagnosing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
-
Modernizing Pharmacovigilance: Leveraging AI, Automation, and Real-World Data for Drug Safety
Abstract: 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, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 12–21 Read article
-
Computational Exploration of Aristolochia indica Bioactive Compounds Against Snake Venom Proteins Using Docking and Dynamics Simulations
Abstract: Snakebite envenoming is a neglected health threat impacting millions of people each year especially in tropical and subtropical countries. Ethnomedicinal plants are sources of various bioactive compounds and have been utilised by several tribes across the world for centuries. Aristolochia indica is a perennial herb mentioned in the Indian Ayurveda with a long history of use against snake venom, scorpion venom, fevers, rheumatic arthritis, liver ailments, leishmaniasis etc. The major …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
Ahead of print
Accepted and online before they are assigned to an issue.
-
In Silico Pharmacological Evaluation of Certain Commercially Available Terpenoids As Αlpha-Amylase Inhibitors for The Management of Diabetes Mellitus.
Abstract: The objective of this study was to investigate the α-amylase inhibitory activity of certain commercially available terpenoids using in silico docking studies. In this perspective, terpenoids like Abietane, Artemisinin, Carvone, Cucurbitane, Ferruginol, Lupeol, Nerolidol, Retinol, Sabinene, and Zingiberene were selected. Glibenclamide, a well-known antidiabetic drug was used as the standard. In silico docking studies were carried out using AutoDock 4.2, based on the Lamarckian genetic algorithm as the working principle. …
Published in Research and Reviews : Journal of Computational Biology Read article
-
A General Review of Tinospora Cordifolia from Ayurvedic Perspective
Abstract: Tinospora Cordifolia plant is a deciduous shrub, sometimes grown as an ornamental, and stem cuttings are a simple way to propagate it. It thrives in practically every type of soil and under a variety of environmental conditions. It has been particularly trained to grow on the Neem tree, and as a result, it is said to have greater therapeutic value. It can also be cultivated by spreading seeds in the …
Published in Research and Reviews : Journal of Computational Biology Read article
-
Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints
Abstract: Quality monitoring of welded joints is still quite a tedious job for many industries. The surface defects on welded joints arises from the improper selection of various input parameters which further result bad quality weld. This paper highlight the application of a computer vision algorithm called discrete Fourier transformation approach for identification of surface defects present on TIG welded joints.
Published in Research and Reviews : Journal of Computational Biology Read article
-
In Silico Screening and Evaluation of Some Metabolites from Momordica charantia in the Treatment of Peptic Ulcers
Abstract: Peptic ulcers are also called as or duodenal ulcers or gastric ulcers that are open sores generally develop in the lining of the stomach due to food and climatic factors. H. pylori infections are potentially the most dangerous and are linked to several diseases like diabetes, cancer, cardiovascular diseases, etc. In the present study, in silico screening and evaluation of some metabolites from Momordica charantia like Momorcharin, Momordicin, Metformin, Pioglitazone, …
Published in Research and Reviews : Journal of Computational Biology Read article
-
Cloud Cryptography Algorithms
Abstract: Nowadays the information is being produced increasingly more by means of the enterprises and is being elevated swiftly that want will be saved and used e.g., e-mails, facts, photograph album, tax document, financial transaction, and so on. Now statistics owners are required to store their nearby facts organization on the cloud for its elasticity with financial savings. This not simplest gives flexibility to users but additionally makes our content material …
Published in Research and Reviews : Journal of Computational Biology Read article
-
Face Recognition or Detection using Image Processing and How Image will be Process Age Wise
Abstract: Biological feature popularity is a type of identification era that uses the person’s special mindset or behavior feature. It furnished of excessive accuracy, accurate balance technique to status prizing. Face reputation is very famous wing of the organic aspect popularity. And also, is very energetic situation in the range of laptop view and pattern popularity. Face detection is technique to hit upon face from a picture which have numerous aspects …
Published in Research and Reviews : Journal of Computational Biology Read article