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.


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



The PDBbind version 2017 is just released (12/19/2017)

Dear researchers, We announce here another new release of the PDBbind database, i.e. version 2017. The PDBbind database aims at providing a comprehensive collection of experimentally measured binding affinity data for all biomolecular complexes deposited in the Protein Data Bank. The PDBbind database was released to the public for the first time in May 2004. It is now updated annually to keep up with the growth of the Protein Data Bank. PDBbind version 2017 is the eleventh release since this database was moved to the PDBbind-CN web server in 2007. This release, i.e. version 2017, provides binding affinity data for a total of 17,900 biomolecular complexes in PDB, including protein-ligand (14,761), nucleic acid-ligand (121), protein-nucleic acid (837), and protein-protein complexes (2,181). The total of binding data has increased by 10.64% since the last release (i.e. version 2016). All binding data are curated from original references rather than cited from other data sources. For the users' convenience, we also provide processed structural files for the protein-ligand complexes included in PDBbind, which can be readily utilized by many molecular modeling software. The PDBbind version 2017 is available on the PDBbind-CN web server at http://www.pdbbind-cn.org/. The basic information of each complex, including binding data, is open to access. Registration is necessary only if the user wants to use the advanced services on this web site or to download data in bulk. Registration is free of charge for academic and commercial/industrial users. More than 4,500 users from over 70 countries have already registered to use this database. Your comments are always welcome by us to improve this database further! Best regards, The PDBbind team@Prof. Renxiao Wang's group State Key Laboratory of Bioorganic Chemistry and Natural Products Chemistry Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences Shanghai, P. R. China

User E-mail
Password
  

Register    Forget Password?
Resend activation email

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)

This site has been visited times since Nov 2007.


Copyright ©2007-2024    涓婃捣鐩堣禌鎬濅俊鎭鎶鏈夐檺鍏徃    缃戠珯澶囨鍙凤細娌狪CP澶2021015625鍙-3    娌叕缃戝畨澶囷細姝e湪鐢宠涓


Technical Support锛堟妧鏈敮鎸侊級: yingsaisi@foxmail.com