title: Quantitative Identification of Compound-Dependent On-Modules and Differential Allosteric Modules From Homologous Ischemic Networks.
abstract: Module-based methods have made much progress in deconstructing biological networks. However, it is a great challenge to quantitatively compare the topological structural variations of modules (allosteric modules [AMs]) under different situations. A total of 23, 42, and 15 coexpression modules were identified in baicalin (BA), jasminoidin (JA), and ursodeoxycholic acid (UA) in a global anti-ischemic mice network, respectively. Then, we integrated the methods of module-based consensus ratio (MCR) and modified Zsummarymodule statistic to validate 12 BA, 22 JA, and 8 UA on-modules based on comparing with vehicle. The MCRs for pairwise comparisons were 1.55% (BA vs. JA), 1.45% (BA vs. UA), and 1.27% (JA vs. UA), respectively. Five conserved allosteric modules (CAMs) and 17 unique allosteric modules (UAMs) were identified among these groups. In conclusion, module-centric analysis may provide us a unique approach to understand multiple pharmacological mechanisms associated with differential phenotypes in the era of modular pharmacology.
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.|Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
authors.forename: B
authors.initials: B
authors.lastname: Li
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
authors.forename: J
authors.initials: J
authors.lastname: Liu
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
authors.forename: Y Y
authors.initials: YY
authors.lastname: Zhang
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
authors.forename: P Q
authors.initials: PQ
authors.lastname: Wang
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
authors.forename: Y N
authors.initials: YN
authors.lastname: Yu
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
authors.forename: R X
authors.initials: RX
authors.lastname: Kang
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
authors.forename: H L
authors.initials: HL
authors.lastname: Wu
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
authors.forename: X X
authors.initials: XX
authors.lastname: Zhang
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China. zhonw@vip.sina.com.
authors.forename: Z
authors.initials: Z
authors.lastname: Wang
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
authors.forename: Y Y
authors.initials: YY
authors.lastname: Wang
mesh_terms: D000818:Animals; D002545:Brain Ischemia / Q000188:drug therapy*; D005419:Flavonoids / Q000008:administration & dosage* / Q000494:pharmacology; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks / Q000187:drug effects; D006801:Humans; D039823:Iridoids / Q000008:administration & dosage* / Q000494:pharmacology; D051379:Mice; D014580:Ursodeoxycholic Acid / Q000008:administration & dosage* / Q000494:pharmacology
chemical_list: D005419:Flavonoids; D039823:Iridoids; C007835:geniposide; C038044:baicalin; D014580:Ursodeoxycholic Acid