STCDB4ND: a signal transduction classification database for neurological diseases.

ABSTRACT: Neurological disorders pose significant global health challenges due to their complex etiology and insufficient understanding of underlying mechanisms. Signal transduction pathways are critical in the pathophysiology of these diseases and have been extensively studied to develop therapeutic interventions. However, existing databases for biological signal pathways often overlook the dynamic interactions between entities within these pathways and lack standardized representations of the signaling processes. To address these limitations, we present STCDB4ND, a specialized database focused on signal transduction pathways associated with neurological diseases. Utilizing the ST classification system, STCDB4ND provides a unified framework for pathway representation, emphasizing interactions and p

SUBMITTER: Gong B 

PROVIDER: S-EPMC12047452 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature