AI Article Synopsis
- The text discusses the increasing importance of understanding cellular component interactions in biology, highlighting that existing tools have limitations as they often focus on just one type of molecule.
- A new platform called BioTriangle has been developed to address these gaps by integrating cheminformatics and bioinformatics, providing a comprehensive toolkit for analyzing various biological molecules and their interactions.
- BioTriangle is user-friendly, allowing users to easily compute molecular features and perform tasks directly through a web browser without the need for complex installations, making it accessible for research in computational biology.
Article Abstract
Background: More and more evidences from network biology indicate that most cellular components exert their functions through interactions with other cellular components, such as proteins, DNAs, RNAs and small molecules. The rapidly increasing amount of publicly available data in biology and chemistry enables researchers to revisit interaction problems by systematic integration and analysis of heterogeneous data. Currently, some tools have been developed to represent these components. However, they have some limitations and only focus on the analysis of either small molecules or proteins or DNAs/RNAs. To the best of our knowledge, there is still a lack of freely-available, easy-to-use and integrated platforms for generating molecular descriptors of DNAs/RNAs, proteins, small molecules and their interactions.
Results: Herein, we developed a comprehensive molecular representation platform, called BioTriangle, to emphasize the integration of cheminformatics and bioinformatics into a molecular informatics platform for computational biology study. It contains a feature-rich toolkit used for the characterization of various biological molecules and complex interaction samples including chemicals, proteins, DNAs/RNAs and even their interactions. By using BioTriangle, users are able to start a full pipelining from getting molecular data, molecular representation to constructing machine learning models conveniently.
Conclusion: BioTriangle provides a user-friendly interface to calculate various features of biological molecules and complex interaction samples conveniently. The computing tasks can be submitted and performed simply in a browser without any sophisticated installation and configuration process. BioTriangle is freely available at http://biotriangle.scbdd.com.Graphical abstractAn overview of BioTriangle. A platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915156 | PMC |
| http://dx.doi.org/10.1186/s13321-016-0146-2 | DOI Listing |
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Article Synopsis
- The text discusses the increasing importance of understanding cellular component interactions in biology, highlighting that existing tools have limitations as they often focus on just one type of molecule.
- A new platform called BioTriangle has been developed to address these gaps by integrating cheminformatics and bioinformatics, providing a comprehensive toolkit for analyzing various biological molecules and their interactions.
- BioTriangle is user-friendly, allowing users to easily compute molecular features and perform tasks directly through a web browser without the need for complex installations, making it accessible for research in computational biology.
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