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Bioinformatics Research and Applications

21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3–5, 2025, Proceedings, Part I

  • Conference proceedings
  • © 2026

Overview

Editors:
  1. Jing Tang

    1. University of Helsinki, Helsinki, Finland

  2. Xin Lai

    1. Tampere University, Tampere, Finland

  3. Zhipeng Cai

    1. Georgia State University, Atlanta, USA

  4. Wei Peng

    1. Kunming University of Science and Technology, Kunming, China

  5. Yanjie Wei

    1. Shenzhen Institutes of Advanced Technology, Shenzhen, China

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15756)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: ISBRA 2025.

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About this book

This two-set volume LNCS 15756 and 15767 constitutes the refereed proceedings of the 21st International Symposium on Bioinformatics Research and Applications, ISBRA 2025, held in Helsinki, Finland, during August 3–5, 2025.

The 66 full papers were carefully reviewed and selected from 167 submissions. This year’s symposium brought together leading researchers, scientists, and industry professionals from around the world to share cutting-edge advancements, foster collaboration, and explore the future of bioinformatics and computational biology.

 

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Table of contents (33 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. HCSeer: A Classification Tool for Human Genetic Variant Hot and Cold Spots Designed for PM1 and Benign Criteria in the ACMG Guideline

    • Xingquan Xia, Guihu Zhao, Xinpan Yuan
    Pages 1-10

  3. ViDSG: A Hybrid Algorithm Integrating Statistical and Semantic Features via Dual-Channels for Identifying Prokaryotic and Eukaryotic Viruses

    • JianPeng Zhang, Fei Teng, Guo Chen, Changna Qian, Wenbin Chen, Xiaoshu Zhu
    Pages 11-20

  4. MoGE: A Benchmark for Comprehensive Evaluation of Molecular Generation Models in De Novo Drug Design

    • Shiliang Zhang, Huimin Zhu, Renyi Zhou, Min Li
    Pages 21-33

  5. Dual-Modality Representation Learning for Molecular Property Prediction

    • Anyin Zhao, Zuquan Chen, Zhengyu Fang, Xiaoge Zhang, Jing Li
    Pages 34-47

  6. GDMRMD: An Ensemble Model for Predicting RNA Modification-Disease Associations

    • Jingwen Wang, Lian Liu
    Pages 48-59

  7. SUIFS: A Symmetric Uncertainty Based Interactive Feature Selection Method

    • Yan Sun, Xiaohan Zhang, Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li et al.
    Pages 60-71

  8. TF-GCNNovo: A Peptide Sequence Prediction Model Integrating Transformer and Graph Convolutional Network

    • Nan Liu, Hao Jing, Xiaotian Jia, Binhai Zhu
    Pages 72-85

  9. FSPicker: A Dual-Stream Attention Network for Multi-scale Particle Picking in Cryo-Electron Tomography

    • Xuan Wang, Wenhao Tian, Zhengao Mo, Chunyi Li, Xiaohua Wan, Fa Zhang
    Pages 86-97

  10. SDMFF: Spatial-Temporal Dual-Pathway Network with Multi-scale Feature Fusion for Parkinson’s Disease Diagnosis

    • Yijin Wang, Hailin Yue, Hulin Kuang, Jianxin Wang
    Pages 98-109

  11. RNA-ModCaller: A Multi Feature Fusion and Stacking Ensemble Learning Framework for Prediction of RNA Modifications

    • Zeyu Zhong, Yan Liu, Peng Ni, Jianxin Wang
    Pages 110-121

  12. Efficient and Accurate Approximation Algorithms for Protein Structure Alignment

    • Masahito Tsukahara, Tetsuo Shibuya
    Pages 122-134

  13. Multi-task Learning with Cross-Stitch for Synergistic Effect of Drug Combination Prediction

    • Anqi Liang, Xiujuan Lei, Ming Chen, Yi Pan
    Pages 135-147

  14. A Neighborhood Selection Learning Artificial Bee Colony Algorithm Based on Population Backtracking for Detecting Epistatic Interactions

    • Yan Sun, Xiaoqi Tang, Linqian Zhao, Yaxuan Zhang, Junliang Shang, Feng Li et al.
    Pages 148-160

  15. PDA-GTGCN: Identification of PiRNA-Disease Associations Based on Group Feature Transformation Graph Convolutional Network

    • Xiaoqi Tang, Xianghan Meng, Junliang Shang, Baojuan Qin, Xin He, Yan Zhao et al.
    Pages 161-172

  16. DDLB: Using the Protein Language Model and Hierarchical Architecture to Improve Disordered Lipid-Binding Residues Prediction

    • Chaojin Wu, Fuhao Zhang, Pengzhen Jia, Min Zeng, Min Li
    Pages 173-184

  17. EEG-TFNet: Spatiotemporal and Spectral Feature Integration for EEG-Based AD Detection

    • An Zeng, Zhao Guo, Dan Pan, Yiqun Zhang, Jun Liu, Huisi Hong
    Pages 185-197

  18. RGMI: A Multimodal Graph Framework with Dynamic Weighting for Measuring Disease Similarity

    • Jianyi Hu, Yongtao Zhu, Zishan Zhou, Xinqiang Wen, Ju Xiang, Xiangmao Meng
    Pages 198-210

  19. LDADW: An Algorithm for Integrating Single-Cell and Spatial Transcriptomic Data Based on the Topic Model

    • Xiaoyang Wang, Lulu Chen, Dongmei Ai
    Pages 211-223

  20. Adaptive Fusion of Global and Local Representations for Neoantigen Retention Time Prediction Through Hierarchical Sequence-Graph Hybridization

    • Jinhong Zhang, Jian Liu
    Pages 224-235
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Other volumes

  1. Bioinformatics Research and Applications

  2. Bioinformatics Research and Applications

Editors and Affiliations

  • University of Helsinki, Helsinki, Finland

    Jing Tang

  • Tampere University, Tampere, Finland

    Xin Lai

  • Georgia State University, Atlanta, USA

    Zhipeng Cai

  • Kunming University of Science and Technology, Kunming, China

    Wei Peng

  • Shenzhen Institutes of Advanced Technology, Shenzhen, China

    Yanjie Wei

Accessibility Information

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This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at [email protected]. Please note that a more accessible version of this eBook is available as ePub.

EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at [email protected].

Bibliographic Information

  • Book Title: Bioinformatics Research and Applications

  • Book Subtitle: 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3–5, 2025, Proceedings, Part I

  • Editors: Jing Tang, Xin Lai, Zhipeng Cai, Wei Peng, Yanjie Wei

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-95-0698-9

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026

  • Softcover ISBN: 978-981-95-0697-2Published: 01 August 2025

  • eBook ISBN: 978-981-95-0698-9Published: 31 July 2025

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XX, 412

  • Number of Illustrations: 4 b/w illustrations, 120 illustrations in colour

  • Topics: Bioinformatics, Artificial Intelligence, Computer Systems Organization and Communication Networks

Keywords

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