mFASD
The software tool mFASD is a novel algorithm designed for discriminating between different types of metal-binding sites based on 3D structure data to improve the accuracy of metal-binding site prediction. The algorithm captures the characteristics of a metal-binding site by investigating the local chemical environment of a set of functional atoms in contact with the bound metal. A distance measure defined on functional atom sets enables the comparison between different metal-binding sites, achieving high sensitivity and accuracy.
Topic
Proteins;Protein binding sites;Protein structure analysis
Detail
Operation: Protein binding site prediction
Software interface: Command-line user interface
Language: Python
License: -
Cost: Free
Version name: -
Credit: The Ministry of Science and Technology, the National Natural Science Foundation of China.
Input: -
Output: -
Contact: liangzhi@ustc.edu.cn
Collection: -
Maturity: -
Publications
- mFASD: a structure-based algorithm for discriminating different types of metal-binding sites.
- He W, et al. mFASD: a structure-based algorithm for discriminating different types of metal-binding sites. mFASD: a structure-based algorithm for discriminating different types of metal-binding sites. 2015; 31:1938-44. doi: 10.1093/bioinformatics/btv044
- https://doi.org/10.1093/bioinformatics/btv044
- PMID: 25649619
- PMC: -
Download and documentation
Documentation: http://staff.ustc.edu.cn/~liangzhi/mfasd/supplementary_materials.docx
Home page: http://staff.ustc.edu.cn/~liangzhi/mfasd/
Data: http://staff.ustc.edu.cn/~liangzhi/mfasd/metal_all_pdb
Links: http://staff.ustc.edu.cn/~liangzhi/mfasd/metal_biological_pdb
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