From complexity to clarity: development of CHM-FIEFP for predicting effective components in Chinese herbal formulas by using big data
CHM-FIEFP is a promising <i>in silico</i> method for identifying pharmacological components of CHM formulas with activity against specific diseases. This approach may also be practical for solving other similarly complex problems. The algorithm is available at http://chm-fiefp.net/.
Authors
- Liangjiao Wang
- Zizhen Chen
- Guoguang Ying (ORCID: https://orcid.org/0000-0002-9563-991X)
- Zhu Han
- Zhanyu Pan (ORCID: https://orcid.org/0000-0001-7709-2941)
- Liren Liu (ORCID: https://orcid.org/0000-0001-7786-7874)
- Shao Li (ORCID: https://orcid.org/0000-0002-8709-9167)
- Boyu Pan
- Jiaqi Yang (ORCID: https://orcid.org/0000-0003-4431-9657)
- Bo Zhang (ORCID: https://orcid.org/0000-0003-4142-0776)
- Jian Ma (ORCID: https://orcid.org/0009-0004-0057-3033)
Institutions
- Tongji University (CN)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- Tianjin haihe hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Cancer Biology and Medicine
- Published
- 2024-10-28
- DOI
- https://doi.org/10.20892/j.issn.2095-3941.2023.0442
- Citations
- 4
- Primary Topic
- Traditional Chinese Medicine Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.86
Funders
- National Natural Science Foundation of China
- Tianjin Municipal Bureau of Public Health