AlvaDesc
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| AlvaDesc | |
|---|---|
 AlvaDesc main user interface | |
| Developer | Alvascience |
| Operating system | Windows, macOS, Linux |
| Platform | x86-64, Apple silicon |
| Available in | English |
| Type | Cheminformatics |
| License | Proprietary |
| Website | www |
AlvaDesc[1][2] is a commercial software application for the calculation and analysis of molecular descriptors, fingerprints, and structural patterns. Developed by Alvascience, alvaDesc is used in cheminformatics and quantitative structure–activity relationship (QSAR) modeling to numerically describe molecular structures, aiding in chemical property prediction and machine learning applications.[3][4]
Overview
[edit]Molecular descriptors and fingerprints[5][6] serve as mathematical representations of chemical compounds, enabling computational models to predict properties such as bioactivity, toxicity, and solubility.
Features
[edit]AlvaDesc supports the calculation of molecular descriptors and fingerprints across multiple categories:
- 0D–3D molecular descriptors: including constitutional indices, topological indices, connectivity indices, geometrical descriptors, pharmacophore descriptors, charge descriptors, and more.[7]
- Molecular properties: including LogP (octanol-water partition coefficient), molar refractivity, polar surface area (PSA), solvent-accessible surface area (SASA), and hydrogen bond donors/acceptors.
- Molecular fingerprints: including MACCS keys, Extended Connectivity Fingerprints (ECFP),[8] Path-based fingerprints.
- Structural pattern detection: alvaDesc allows the identification of structural patterns in molecules using SMARTS-based matching, enabling the analysis of functional groups, substructures, and chemical motifs.
- 3D coordinate calculation: alvaDesc can generate 3D molecular structures from 1D/2D representations. The 3D coordinates calculation is performed using a Distance Geometry (DG) method, followed by a Force Field (FF) optimization.
- Descriptor analysis tools: including Principal Component Analysis (PCA), t-SNE analysis, correlation analysis, variable reduction.
- Support for disconnected structures: Handles salts, mixtures, ionic liquids, and metal complexes.
- Cross-platform compatibility: Available for Windows, macOS, and Linux, supporting both graphical user interface (GUI) and command-line interface (CLI).
- KNIME and Python integration: alvaDesc can be integrated into cheminformatics workflows using the KNIME analytics platform and Python scripting.
See also
[edit]
References
[edit]- ↑ Mauri, Andrea (2020). "alvaDesc: A Tool to Calculate and Analyze Molecular Descriptors and Fingerprints". Methods in Pharmacology and Toxicology. New York, NY: Springer US. pp. 801–820. doi:10.1007/978-1-0716-0150-1_32. ISBN 978-1-0716-0149-5. ISSN 1557-2153. S2CID 213896490.
- ↑ Mauri, Andrea; Bertola, Matteo (2022). "Alvascience: A New Software Suite for the QSAR Workflow Applied to the Blood–Brain Barrier Permeability". International Journal of Molecular Sciences. 23 12882. doi:10.3390/ijms232112882. PMC 9655980. PMID 36361669.
- ↑ Scienomics alvaDesc Plugin, SCIENOMICS LLC, Atlanta, Georgia (USA)
- ↑ OCHEM alvaDesc Integration, Online Chemical Database with modeling environment
- ↑ Todeschini, Roberto; Consonni, Viviana (2000). Handbook of Molecular Descriptors. Methods and Principles in Medicinal Chemistry. Wiley. doi:10.1002/9783527613106. ISBN 978-3-527-29913-3.
- ↑ Todeschini, R., & Consonni, V. (2009). Molecular Descriptors for Chemoinformatics. Molecular Descriptors for Chemoinformatics (Vol. 41). Wiley. https://doi.org/10.1002/9783527628766
- ↑ List of molecular descriptors calculated by alvaDesc, Alvascience srl, Lecco, ITALY
- ↑ Rogers, D., & Hahn, M. (2010). Extended-connectivity fingerprints. Journal of Chemical Information and Modeling, 50(5), 742–754. https://doi.org/10.1021/ci100050t