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- Volume 20, Issue 2, 2025
Current Bioinformatics - Volume 20, Issue 2, 2025
Volume 20, Issue 2, 2025
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Intersecting Peptidomics and Bioactive Peptides in Drug Therapeutics
Peptidomics is the study of total peptides that describe the functions, structures, and interactions of peptides within living organisms. It comprises bioactive peptides derived naturally or synthetically designed that exhibit various therapeutic properties against microbial infections, cancer progression, inflammation, etc. With the current state of the art, Bioinformatics tools and techniques help analyse large peptidomics dat Read More
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An Exploratory Review on Recent Computational Approaches Devised for MiRNA Disease Association Prediction
Authors: S. Sujamol, E.R. Vimina and U. KrishnakumarRecent evidence demonstrated the fundamental role of miRNAs as disease biomarkers and their role in disease progression and pathology. Identifying disease related miRNAs using computational approaches has become one of the trending topics in health informatics. Many biological databases and online tools were developed for uncovering novel disease-related miRNAs. Hence, a brief overview regarding the disease Read More
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GB5mCPred: Cross-species 5mc Site Predictor Based on Bootstrap-based Stochastic Gradient Boosting Method for Poaceae
Authors: Dipro Sinha, Tanwy Dasmandal, Md Yeasin, Dwijesh Chandra Mishra, Anil Rai and Sunil ArchakBackgroundOne of the most prevalent epigenetic alterations in all three kingdoms of life is 5mC, which plays a part in a wide range of biological functions. Although in-vitro techniques are more effective in detecting epigenetic alterations, they are time and cost-intensive. Artificial intelligence-based in silico approaches have been used to overcome these obstacles.AimThis study aimed to develop a ML-based predictor for the d Read More
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Hybrid Feature Extraction for Breast Cancer Classification Using the Ensemble Residual VGG16 Deep Learning Model
IntroductionBreast Cancer (BC) is a significant cause of high mortality amongst women globally and probably will remain a disease posing challenges about its detectability. Advancements in medical imaging technology have improved the accuracy and efficiency of breast cancer classification. However, tumor features' complexity and imaging data variability still pose challenges.MethodsThis study proposes the En Read More
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Investigating Full-Length circRNA Transcripts to Reveal circRNA-Mediated Regulation of Competing Endogenous RNAs in Gastric Cancer
Authors: Jingjing Liu, Quan Yuan, Runqiu Cai, Jian Zhao, Juan Chen, Meng Zhang, Yulan Wang, Minhui Zhuang, Tianyi Xu, Xiaofeng Song and Jing WuBackgroundCircular RNAs (circRNAs) play important regulatory roles in the progression of gastric cancer (GC), but the exact mechanisms governing their regulation remain incompletely understood. Prior studies typically used back-spliced junctions (BSJs) to represent a range of circRNA isoforms, overlooking the prevalence of alternative splicing (AS) events within circRNAs, which could lead to unreliable or even incorrect conclusio Read More
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CLPr_in_ML: Cleft Lip and Palate Reconstructed Features with Machine Learning
Authors: Baitong Chen, Ning Li and Wenzheng BaoBackgroundCleft lip and palate are two of the most common craniofacial congenital malformations in humans. It influences tens of millions of patients worldwide. The hazards of this disease are multifaceted, extending beyond the obvious facial malformation to encompass physiological functions, oral health, psychological well-being, and social aspects.ObjectiveThe primary objective of our study is to demonstrate the im Read More
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Volumes & issues
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Volume 20 (2025)
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Volume 19 (2024)
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Volume 18 (2023)
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Volume 17 (2022)
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Volume 16 (2021)
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Volume 15 (2020)
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Volume 14 (2019)
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Volume 13 (2018)
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Volume 12 (2017)
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Volume 11 (2016)
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Volume 10 (2015)
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Volume 9 (2014)
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Volume 8 (2013)
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Volume 7 (2012)
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Volume 6 (2011)
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Volume 5 (2010)
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Volume 4 (2009)
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Volume 3 (2008)
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Volume 2 (2007)
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Volume 1 (2006)
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