TTPdb 数据库发布，收录 5366 条靶向治疗肽数据
TTPdb: a comprehensive database of targeted therapeutic peptides
TTPdb 是一个整合靶向治疗肽（TTPs）信息的专用数据库，共收录 5366 条肽，其中 106 条已获批、229 条处于临床阶段、5031 条为临床前或研究阶段，覆盖 600 多种疾病类型。数据库为每条肽注释了三维结构、结合相互作用和理化性质，并整理肽的结构修饰与药理机制，建立肽、靶点与疾病之间的关联。检索方面，TTPdb 提供通用关键词查询、结构化条件筛选和基于 FASTA 的序列同源搜索，以肽、靶点和疾病为主要检索实体。作者称该库可作为 AI 驱动的生物医学研究中理性肽设计与优化的资源，数据库可免费访问。
来源：Nucleic Acids Research · doi.org
Targeted therapeutic peptides (TTPs) represent a promising therapeutic modality that bridges the gap between small-molecule drugs and macromolecular antibody-based therapeutics by combining high target specificity, superior tissue permeability, and controllable synthesis. Recent advances in chemical modification and computational design have accelerated the clinical translation of TTPs across diverse therapeutic areas, generating multidimensional data that encompass pharmaceutical profiles, structural binding insights, and structure–activity relationships. However, these data remain fragmented across disparate sources, and no dedicated platform exists to systematically integrate them for mechanistic exploration or rational peptide engineering. Here, we present TTPdb, a specialized database that consolidates comprehensive information on TTPs. TTPdb compiles 5366 TTPs (106 approved, 229 clinical, and 5031 preclinical or investigative), which span >600 disease types and are annotated with 3D structures, binding interactions, and physicochemical properties. TTPdb further catalogs peptide structural modifications and pharmacological mechanisms while establishing associations among peptides, targets, and diseases. TTPdb incorporates a multidimensional search module that supports universal keyword queries, structured conditional filtering, and FASTA-based sequence homology searches, with peptides, targets, and diseases as the primary search entities. As a valuable resource for rational peptide design and optimization in AI-driven biomedical research, TTPdb is freely accessible at https://idrblab.org/TTPdb