Perspectives on computational modeling of biological systems and the significance of the SysMod community.

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Bioinformatics advances Pub Date : 2024-06-26 eCollection Date: 2024-01-01 DOI:10.1093/bioadv/vbae090

Bhanwar Lal Puniya, Meghna Verma, Chiara Damiani, Shaimaa Bakr, Andreas Dräger

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引用次数: 0

Abstract

Motivation: In recent years, applying computational modeling to systems biology has caused a substantial surge in both discovery and practical applications and a significant shift in our understanding of the complexity inherent in biological systems.

Results: In this perspective article, we briefly overview computational modeling in biology, highlighting recent advancements such as multi-scale modeling due to the omics revolution, single-cell technology, and integration of artificial intelligence and machine learning approaches. We also discuss the primary challenges faced: integration, standardization, model complexity, scalability, and interdisciplinary collaboration. Lastly, we highlight the contribution made by the Computational Modeling of Biological Systems (SysMod) Community of Special Interest (COSI) associated with the International Society of Computational Biology (ISCB) in driving progress within this rapidly evolving field through community engagement (via both in person and virtual meetings, social media interactions), webinars, and conferences.

Availability and implementation: Additional information about SysMod is available at https://sysmod.info.

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关于生物系统计算建模的观点以及 SysMod 社区的意义。

动因：近年来，将计算建模应用于系统生物学在发现和实际应用方面都出现了大幅增长，我们对生物系统内在复杂性的理解也发生了重大转变：在这篇视角独特的文章中，我们简要概述了生物学中的计算建模，重点介绍了最近的进展，如omics革命带来的多尺度建模、单细胞技术以及人工智能和机器学习方法的整合。我们还讨论了面临的主要挑战：集成、标准化、模型复杂性、可扩展性和跨学科合作。最后，我们强调了与国际计算生物学会（ISCB）相关联的生物系统计算建模（SysMod）特别兴趣社区（COSI）通过社区参与（通过面对面和虚拟会议、社交媒体互动）、网络研讨会和会议，在推动这一快速发展领域的进步方面做出的贡献：有关 SysMod 的其他信息，请访问 https://sysmod.info。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Bioinformatics advances

CiteScore

1.60

自引率

0.00%

发文量