创伤愈合和骨折恢复中网络药理学研究的综合方法综述

IF 2.2 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Rizwan Ahamed Najimudeen , Catherin Amaldoss , Aarthi Raghu , Alex Anand Daniel , Dilip Kumar Shanmugam , Prakash Pandurangan , Subbaiya Ramasamy
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引用次数: 0

摘要

这篇综述提供了涉及伤口愈合和骨折恢复的复杂过程的全面探索,深入研究了这些关键生理事件背后的阶段和细胞活动。在伤口愈合和骨折的背景下,网络药理学和传统医学方法的整合进行了彻底的检查,突出了现代科学方法和古老疗法之间的潜在协同作用。网络药理学研究的研究方法是精心概述,包括数据挖掘,目标识别,网络构建和分析,以及验证技术。各种生物信息学数据库和工具隐含在网络药理学表。负责伤口愈合和骨折的基因也被制成表格。本文通过综合不同领域的知识,为通过网络药理学研究推进伤口愈合和骨折管理的治疗干预提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrative approaches to network pharmacology studies in wound healing and bone fracture recovery: A comprehensive review

Integrative approaches to network pharmacology studies in wound healing and bone fracture recovery: A comprehensive review
This review provides a comprehensive exploration of the intricate processes involved in wound healing and bone fracture recovery, delving into the phases and cellular activities that underlie these critical physiological events. The integration of network pharmacology and traditional medicine approaches in the context of wound healing and bone fracture is thoroughly examined, highlighting the potential synergies between modern scientific methodologies and age-old remedies. The Research methodology for network pharmacology studies is meticulously outlined, encompassing data mining, target identification, network construction and analysis, and validation techniques. Various Bioinformatics Databases and tools implied in the network pharmacology are tabulated. The genes responsible for wound healing and bone fracture are also tabulated. By synthesizing knowledge from diverse fields, this review offers valuable insights for advancing therapeutic interventions in wound healing and bone fracture management through network pharmacology study.
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来源期刊
Biophysical chemistry
Biophysical chemistry 生物-生化与分子生物学
CiteScore
6.10
自引率
10.50%
发文量
121
审稿时长
20 days
期刊介绍: Biophysical Chemistry publishes original work and reviews in the areas of chemistry and physics directly impacting biological phenomena. Quantitative analysis of the properties of biological macromolecules, biologically active molecules, macromolecular assemblies and cell components in terms of kinetics, thermodynamics, spatio-temporal organization, NMR and X-ray structural biology, as well as single-molecule detection represent a major focus of the journal. Theoretical and computational treatments of biomacromolecular systems, macromolecular interactions, regulatory control and systems biology are also of interest to the journal.
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