| Residential College | false |
| Status | 即將出版Forthcoming |
| Design of Bioengineered Peptides/Proteases as Anti-cancer Reagents with Integrated Omics and Machine Learning Approaches | |
Zuo, Weimin1,2,3; Kwok, Hang Fai1,2,3
| |
| 2024 | |
| Source Publication | Methods in Molecular Biology |
| Pages | 295-309 |
| Abstract | Cancer is a heterogeneous disorder of uncontrolled growth of cells, which has proven to be a major burden worldwide. Many treatment options are available for cancer therapy, yet side effects and drug resistance remain major hurdles. Therefore, it is necessary to develop novel drugs for cancer therapy. Anti-cancer peptides (ACPs) are attractive candidates with remarkable potency, low toxicity, and high specificity advantages. However, traditional experimental identification of ACPs is time-consuming and expensive. Integrated omics combined with machine learning (ML) is considered a new powerful and cost-effective strategy to discover ACPs from natural products. In this chapter, we describe in detail experimental procedures for collecting both transcriptomic and proteomic data from venoms, followed by descriptive approaches to ML prediction. |
| Keyword | Anti-cancer peptide Cancer Integrated omics Machine learning |
| DOI | 10.1007/978-1-0716-3589-6_22 |
| URL | View the original |
| Language | 英語English |
| Volume | 2747 |
| Scopus ID | 2-s2.0-85178520274 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Book chapter |
| Collection | DEPARTMENT OF BIOMEDICAL SCIENCES |
| Affiliation | 1.Cancer Centre, Faculty of Health Sciences, University of Macau, Taipa, Avenida de Universidade, Macao 2.School of Biomedical Sciences, Faculty of Health Sciences, University of Macau, Taipa, Avenida de Universidade, Macao 3.MoE Frontiers Science Center for Precision Oncology, University of Macau, Taipa, Avenida de Universidade, Macao |
| First Author Affilication | Cancer Centre; Faculty of Health Sciences; University of Macau |
| Recommended Citation GB/T 7714 | Zuo, Weimin,Kwok, Hang Fai. Design of Bioengineered Peptides/Proteases as Anti-cancer Reagents with Integrated Omics and Machine Learning Approaches[M]. Methods in Molecular Biology, 2024, 295-309. |
| APA | Zuo, Weimin., & Kwok, Hang Fai (2024). Design of Bioengineered Peptides/Proteases as Anti-cancer Reagents with Integrated Omics and Machine Learning Approaches. Methods in Molecular Biology, 2747, 295-309. |
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