ArticleFrontiers in chemistry2020
Development of a TSR-Based Method for Protein 3-D Structural Comparison With Its Applications to Protein Classification and Motif Discovery.
Article in Frontiers in chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Measuring and locating the changes in protein structure using MELO.Nature communications · 2026Article
- Article
- Development of a TSR-based method for understanding structural relationships of cofactors and local environments in photosystem I.BMC bioinformatics · 2025Article
- Development of the TSR-based computational method to investigate spike and monoclonal antibody interactions.Frontiers in chemistry · 2025Article
- Development of a novel representation of drug 3D structures and enhancement of the TSR-based method for probing drug and target interactions.Computational biology and chemistry · 2024Article
- Introducing mirror-image discrimination capability to the TSR-based method for capturing stereo geometry and understanding hierarchical structure relationships of protein receptor family.Computational biology and chemistry · 2023Article
- The specific applications of the TSR-based method in identifying ZnData in brief · 2022Article
- SSE-TSR: An Approach to Integrate Secondary Structure Elements Into Triangular Spatial Relationships for Protein Classification.IEEE transactions on computational biology and bioinformaticsArticle
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Authors and funding
4 authors.
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Abstract
Development of protein 3-D structural comparison methods is important in understanding protein functions. At the same time, developing such a method is very challenging. In the last 40 years, ever since the development of the first automated structural method, ~200 papers were published using different representations of structures. The existing methods can be divided into five categories: sequence-, distance-, secondary structure-, geometry-based, and network-based structural comparisons. Each has its uniqueness, but also limitations. We have developed a novel method where the 3-D structure of a protein is modeled using the concept of Triangular Spatial Relationship (TSR), where triangles are constructed with the C
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