title: Mathematical and Computational Modeling in Complex Biological Systems.
abstract: The biological process and molecular functions involved in the cancer progression remain difficult to understand for biologists and clinical doctors. Recent developments in high-throughput technologies urge the systems biology to achieve more precise models for complex diseases. Computational and mathematical models are gradually being used to help us understand the omics data produced by high-throughput experimental techniques. The use of computational models in systems biology allows us to explore the pathogenesis of complex diseases, improve our understanding of the latent molecular mechanisms, and promote treatment strategy optimization and new drug discovery. Currently, it is urgent to bridge the gap between the developments of high-throughput technologies and systemic modeling of the biological process in cancer research. In this review, we firstly studied several typical mathematical modeling approaches of biological systems in different scales and deeply analyzed their characteristics, advantages, applications, and limitations. Next, three potential research directions in systems modeling were summarized. To conclude, this review provides an update of important solutions using computational modeling approaches in systems biology.
authors.affiliation: School of Information & Electronic Engineering, Zhejiang Gongshang University, 18 Xuezheng Road, Hangzhou 310018, China.
authors.forename: Zhiwei
authors.identifier: 0000-0001-5781-3465
authors.initials: Z
authors.lastname: Ji
authors.affiliation: College of Information Engineering, China Jiliang University, 258 Xueyuan Street, Hangzhou 310018, China.
authors.forename: Ke
authors.identifier: 0000-0002-1611-6636
authors.initials: K
authors.lastname: Yan
authors.affiliation: Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences and College of Stomatology, Chongqing Medical University, Chongqing 400016, China.
authors.forename: Wenyang
authors.initials: W
authors.lastname: Li
authors.affiliation: Institute of Computer Vision, College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China.
authors.forename: Haigen
authors.identifier: 0000-0001-5863-8283
authors.initials: H
authors.lastname: Hu
authors.affiliation: School of Information & Electronic Engineering, Zhejiang Gongshang University, 18 Xuezheng Road, Hangzhou 310018, China.
authors.forename: Xiaoliang
authors.initials: X
authors.lastname: Zhu
mesh_terms: D019295:Computational Biology; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000235:genetics* / Q000473:pathology; D049490:Systems Biology