Welcome to the PDBbind-CN Database!

Introduction. The aim of the PDBbind database is to provide a comprehensive collection of experimentally measured binding affinity data for all biomolecular complexes deposited in the Protein Data Bank (PDB). It provides an essential linkage between the energetic and structural information of those complexes, which is helpful for various computational and statistical studies on molecular recognition, drug discovery, and many more (see the list of published applications of PDBbind).

The PDBbind database was originally developed by Prof. Shaomeng Wang's group at the University of Michigan in USA, which was first released to the public in May, 2004. This database is now maintained and further developed by Prof. Renxiao Wang's group at College of Pharmacy, Fudan University in China. The PDBbind database is updated on an annual base to keep up with the growth of the Protein Data Bank.


PDBbind version 2024 is now released on PDBbind+ 01/24/2025
Invitation to the new PDBbind+ web site 02/03/2024

Current release. The current release, i.e. version 2020, is based on the contents of PDB officially released at the first week in 2020. This release provides binding affinity data for a total of 23,496 biomolecular complexes in PDB, including protein-ligand (19,443), protein-protein (2,852), protein-nucleic acid (1,052), and nucleic acid-ligand complexes (149). Compared to the last release (v.2019), binding data included in this release have increased by ~10%. All binding data are curated by ourselves from ~40,500 original references. Click here for a brief introduction to the PDBbind database (PDF).


A special remark on the PDBbind core set. Compilation of the PDBbind core set aims at providing a relatively small set of high-quality protein-ligand complexes for validating docking/scoring methods. The data set is selected based on the contents of PDBbind. In particular, this data set has served as the primary test set in the popular Comparative Assessment of Scoring Functions (CASF) benchmark developed by our group. The PDBbind core set is not included in the PDBbind data package because it is not updated annually as PDBbind itself. Users can obtain the PDBbind core set by downloading the CASF data package at http://www.pdbbind.org.cn/casf.php. The latest available version of the PDBbind core set is included in CASF-2016, which consists of 285 protein-ligand complexes.


Accessibility. The basic information of each complex in PDBbind is completely open for access (see the [BROWSE] page). Users are required to register under a license agreement in order to utilize the searching functions provided on this web site or to download PDBbind data sets in bulk. Registration is currently free of charge to all academic and industrial users. Please go to the [REGISTER] page and follow the instructions to complete registration.


Acknowledgments. This project is financially supported by the Ministry of Science and Technology of China (National Key Research Program, Grant No. 2016YFA0502302) and the National Natural Science Foundation of China (Grant No. 81725022, 81430083, 21661162003, 21673276, 21472227, 21472226). We are very grateful to Prof. Zenghui (John) Zhang's group at the East China Normal University for their aid to version 2015, 2016, and 2017.

News & Notice



PDBbind version 2024 is now released on PDBbind+ (01/24/2025)

We are pleased to announce the official release of PDBbind version 2024 on the PDBbind+ platform (htttp://www.pdbbind-plus.org.cn/). Note that the previous release is version 2021. It means we have chosen to provide version 2024 directly by skipping version 2022 and 2023. The PDBbind database will return to the track of regular annual update from now. The key highlights of PDBbind version 2024 include: (1) Expanded collection of binding data: The new release encompasses experimental binding affinity data for 33,660 biomolecular complexes sourced from the Protein Data Bank, marking a 23% growth from the previous release (version 2021). Compared to the last free-accessible release (version 2020), the growth reaches a significant level of 43%. PDBbind version 2024 provides binding data for >27300 protein-ligand complexes, >200 nucleic acid-ligand complexes, >4500 protein-protein complexes, and >1400 protein-nucleic acid complexes. This expansion enables a broader and deeper exploration of molecular interactions, such as training deep-learning models and so on. (2) Carefully processed complex structural files: We have implemented a new workflow since version 2021 to ensure the structural files of protein-ligand complexes are processed properly to be compatible with other popular software (such as RDKit). As for version 2024, we have further refined this workflow to achieve even higher accuracy and reliability in data interpretation. This workflow has been applied to process nucleic acid-ligand complexes as well. (3) Attention to Macrobiomolecular complexes: For the first time in the history of PDBbind, version 2024 now provides processed structural files for the protein-protein complexes and protein-nucleic acid complexes in PDBbind. For this purpose, necessary annotations are added to the binding data, so one can interpret the interacting chains in those complexes. A new workflow has been established to process and fix certain defects in the original PDB structural files. This new feature is expected to facilitate the computational research focusing on such molecular systems. (4) New functions implemented on the PDBbind+ platform: Our web platform offers useful features for structural visualization and data analysis. Additionally, computational tools developed by our team, such as COMET (target-fishing for bioactive molecules) and PLANET (ultra-fast structure-based virtual screening), have been integrated to enrich user experience, while cloud resources facilitate efficient on-line computation. Even the demo users may use these computing services on PDBbind+. As part of our commitment to fostering collaboration and knowledge exchange, registration on PDBbind+ as a demo user remains FREE. Demo users have access to a range of data and computing services free of charge. For those seeking access to the latest data collection and complete functions, we offer the users the option to purchase the PDBbind dataset (version 2024 for now) with a modest licensing fee. Upon becoming a paid user, you will unlock full access to all available data and computing services on PDBbind+. It needs to be emphasized that the PDBbind+ platform is the only legal resource where one can obtain the PDBbind dataset since version 2021. Public re-distribution of the PDBbind dataset, or a derivative dataset, is prohibited by the user license agreement. We express our heartfelt gratitude to you for your unwavering support, which serves as the cornerstone of our endeavors. Your feedback and engagement continue to inspire us as we strive to evolve the PDBbind database into a more valuable community resource. With best regards, The PDBbind+ Team School of Pharmacy, Fudan University & TopScience Ltd., Shanghai

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1. FAQs of the PDBbind-CN database
2. Feedback to the PDBbind-CN team
3. Register a new account in PDBbind-CN
4. Deposit binding affinity data into PDBbind-CN

Team Leader: Prof. Renxiao Wang
Email: wangrx@fudan.edu.cn
Tel: +86-21-54925128
Support: yingsaisi@foxmail.com

The PDBbind-CN Team Members

[1] Minyi Su, Qifan Yang, Yu Du, Guoqin Feng, Zhihai Liu, Yan Li,* Renxiao Wang,*, "Comparative Assessment of Scoring Functions: The CASF-2016 Update", J. Chem. Inf. Model, 2019, Vol. 59: pp 895-913.(CASF-2016)

[2] Yan Li, Minyi Su, Zhihai Liu, Jie Li, Jie Liu, Li Han, Renxiao Wang *, "Assessing Protein-Ligand Interaction Scoring Functions with the CASF-2013 Benchmark", Nature Protocols, 2018, Vol. 3(4): pp 666-680.(CASF-2013)

[3] Liu, Zhihai; Su, Minyi; Han, Li; Liu, Jie; Yang, Qifan; Li, Yan; Wang, Renxiao *, "Forging the Basis for Developing Protein-Ligand Interaction Scoring Functions", Accounts of Chemical Research, 2017, 50 (2): pp. 302-309.(PDBbind version 2016)

[4] Zhihai Liu, Yan Li, Li Han, Jie Li, Jie Liu, Zhixiong Zhao, Wei Nie, Yuchen Liu and Renxiao Wang, "PDB-wide collection of binding data: current status of the PDBbind database", Bioinformatics, 2015, 31 (3): 405-412. (PDBbind version 2014)

[5] Li Y.; Liu Z.H.; Li J.; Han L.; Liu J.; Zhao Z.X.; Wang R.X. "Comparative Assessment of Scoring Functions on an Updated Benchmark: I. Compilation of the Test Set", J. Chem. Inf. Model., 2014, 54 (6), pp. 1700-1716. (PDBbind version 2013)

[6] Li, Y.; Han, L.; Liu, Z. H.; Wang, R. X.*. "Comparative Assessment of Scoring Functions on an Updated Benchmark: II. Evaluation Methods and General Results", J. Chem. Inf. Model., 2014, 54 (6), pp. 1717-1736. (CASF-2013)

[7] Cheng T.J.; Li X.; Li Y.; Liu Z.H.; Wang R.X. "Comparative assessment of scoring functions on a diverse test set", J. Chem. Inf. Model., 2009; 49(4); 1079-1093. (PDBbind version 2007)

[8] Wang, R.; Fang, X.; Lu, Y.; Yang, C.-Y.; Wang, S. "The PDBbind Database: Methodologies and updates", J. Med. Chem., 2005; 48(12); 4111-4119. (PDBbind prototype)

[9] Wang, R.; Fang, X.; Lu, Y.; Wang, S. "The PDBbind Database: Collection of Binding Affinities for Protein-Ligand Complexes with Known Three-Dimensional Structures", J. Med. Chem., 2004; 47(12); 2977-2980. (PDBbind prototype)

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