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a catalog of worldwide biological databases

Database Profile

IDPM

General information

URL: http://liulab.csrc.ac.cn/idpm
Full name: IDPM
Description: IDPM is an online database for ion distribution in protein molecules. Based on the structures of protein molecules and the location of ions, the statistical distributions of ions around each proteinogenic amino acid type were investigated and further summarized in a database. To systematically quantify the interactions between ions and each amino acid, the positions of ions were mapped to the coordinate system centered at each neighboring amino acid.
Year founded: 2018
Last update:
Version:
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Beijing Computational Science Research Center
Address: Complex Systems Division, Beijing Computational Science Research Center, Beijing, China
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Haiguang Liu
Contact email (PI/Helpdesk): hgliu@csrc.ac.cn

Publications

29548284
IDPM: an online database for ion distribution in protein molecules. [PMID: 29548284]
Xilun Xiang, Haiguang Liu

BACKGROUND: Interactions between ions and proteins have been extensively studied, yet most of the studies focus on the ion binding site. The binding mechanism for many ion binding sites can be clearly described from high resolution structures. Although knowledge accumulated on a case-by-case basis is valuable, it is also important to study the ion-protein interaction statistically. From experimentally determined structures, it is possible to examine the ion distribution around each amino acid. Such distributions can reveal relation between ions and amino acids, so it is desirable to carry out a systematic survey of 'ion-amino acid' pairing interaction and share the information with a publicly available database.
RESULTS: The survey in the Protein Data Bank (PDB) revealed that approximately 40% of molecules records contain at least one ion. To reduce the bias resulted from protein redundancy, the statistics were extracted from a non-redundant dataset by excluding the proteins with similar sequences. Based on the structures of protein molecules and the location of ions, the statistical distributions of ions around each proteinogenic amino acid type were investigated and further summarized in a database. To systematically quantify the interactions between ions and each amino acid, the positions of ions were mapped to the coordinate system centered at each neighboring amino acid. It was found that the distribution of ions follows the expected rules governed by the physicochemical interactions in general. Large variations were observed, reflecting the preference in 'ion-amino acid' interactions. The analysis program is written in the Python programming language. The statistical results and program are available from the online database: ion distribution in protein molecules (IDPM) at http://liulab.csrc.ac.cn/idpm/ .
CONCLUSION: The spatial distribution of ions around amino acids is documented and analyzed. The statistics can be useful for identifying ion types for a given site in biomolecules, and can be potentially used in ion position prediction for given structures.

BMC Bioinformatics. 2018:19(1) | 5 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
6260/6895 (9.224%)
Interaction:
1111/1194 (7.035%)
Literature:
525/577 (9.185%)
6260
Total Rank
3
Citations
0.429
z-index

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Record metadata

Created on: 2019-10-21
Curated by:
Amjad Ali [2019-11-13]
Ghulam Abbas [2019-10-21]