LSim
LSim aligns macromolecular electron density distributions and computes structural similarity scores to enable quantitative comparison and alignment of large biological molecules.
Key Features:
- Electron Density Superposition: Aligns macromolecules based on their electron density distributions to capture three-dimensional atomic arrangements.
- Structural Similarity Score Computation: Calculates similarity scores that quantify resemblance between molecular electron density distributions.
- Efficient Algorithm: Implements an improved algorithm for evaluating the Quantum Molecular Similarity function that identifies non-negligible terms to reduce computational cost and achieve linear scaling.
- Minimalist Dynamic Electron Density Model: Utilizes approximate single shell densities to simplify the electron density representation while maintaining alignment accuracy.
Scientific Applications:
- Macromolecular Alignment: Aligns large biological molecules such as proteins and nucleic acids for comparative structural studies and functional analysis.
- Structural Biology Research: Enables electron density-based structural comparisons relevant to applications such as drug design and identification of therapeutic targets.
Methodology:
Efficient evaluation of the Quantum Molecular Similarity function by identifying non‑negligible atom–atom interaction terms and leveraging the exponential decay of those terms to avoid computing all interatomic squared distances, combined with electron density modeling using approximate single shell densities to achieve linear scaling.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Constans P. Linear scaling approaches to quantum macromolecular similarity: Evaluating the similarity function. Journal of Computational Chemistry. 2002;23(14):1305-1313. doi:10.1002/jcc.10140. PMID:12214313.