TTPdb: a comprehensive database of targeted therapeutic peptides
6 affiliations
- 1Department of Medicinal Chemistry, College of Pharmacy, Hebei Medical University , Shijiazhuang 050017 ,
- 2College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, National Key Laboratory of Advanced Drug Delivery and Release Systems, Zhejiang University , Hangzhou 310058 ,
- 3Department of Pharmacology, College of Pharmacy, Hebei Medical University , Shijiazhuang 050017 ,
- 4National Key Laboratory of New Pharmaceutical Preparations and Excipients, Hebei Medical University , Shijiazhuang 050017 ,
- 5Zhejiang Provincial Key Laboratory of Anti-cancer Chinese Medicines and Natural Medicines, School of Pharmacy, Hangzhou Normal University , Hangzhou 311121 ,
- 6The Key Laboratory of Clinical Neurology, Ministry of Education, Hebei Medical University , Shijiazhuang 050017 ,
Abstract
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
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BibTeX
@article{zhang2026ttpdb,
title = {{TTPdb: a comprehensive database of targeted therapeutic peptides}},
author = {Yang Zhang and Xuedong Li and Weimin Lu and Minjie Mou and Pingfan Yuan and Na Yang and Xin Li and Ziyi Zhang and Yiteng Wang and Zhimeng Zhou and Ying Zhou and Yan Fu and Luohong Wang and Zhengyu Zuo and Mingyu Liu and Feng Zhu and Jie Liu and Yintao Zhang and Qingzhong Jia},
journal = {Nucleic Acids Research},
year = {2026},
month = oct,
doi = {10.1093/nar/gkag1020},
url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1020/8994524},
note = {CC BY-NC 4.0},
}
RIS
TY - JOUR
TI - TTPdb: a comprehensive database of targeted therapeutic peptides
AU - Yang Zhang
AU - Xuedong Li
AU - Weimin Lu
AU - Minjie Mou
AU - Pingfan Yuan
AU - Na Yang
AU - Xin Li
AU - Ziyi Zhang
AU - Yiteng Wang
AU - Zhimeng Zhou
AU - Ying Zhou
AU - Yan Fu
AU - Luohong Wang
AU - Zhengyu Zuo
AU - Mingyu Liu
AU - Feng Zhu
AU - Jie Liu
AU - Yintao Zhang
AU - Qingzhong Jia
PY - 2026
DA - 2026/10/24
JO - Nucleic Acids Research
DO - 10.1093/nar/gkag1020
UR - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1020/8994524
AB - 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
SN - 0305-1048
SN - 1362-4962
ER -