KBbox: a toolbox of computational methods for studying the kinetics of molecular binding
The past few years have seen increasing recognition of the importance of understanding molecular binding kinetics. This has led to the development of myriad computational methods for studying the kinetics of binding processes and predicting their associated rate constants that show varying ranges of...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
5 August 2019
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| In: |
Journal of chemical information and modeling
Year: 2019, Volume: 59, Issue: 9, Pages: 3630-3634 |
| ISSN: | 1549-960X |
| DOI: | 10.1021/acs.jcim.9b00485 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1021/acs.jcim.9b00485
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| Author Notes: | Neil J. Bruce, Gaurav K. Ganotra, Stefan Richter, and Rebecca C. Wade |
| Summary: | The past few years have seen increasing recognition of the importance of understanding molecular binding kinetics. This has led to the development of myriad computational methods for studying the kinetics of binding processes and predicting their associated rate constants that show varying ranges of application, degrees of accuracy, and computational requirements. In order to help researchers decide which method might be suitable for their projects, we have developed KBbox, a web server that guides users in choosing the methods they should consider on the basis of the information they wish to obtain, the data they currently have available, and the computational resources to which they have access. KBbox provides information on the toolbox of available methods, their associated software tools, an expanding list of curated examples of published applications, and tutorials explaining how to apply some of the methods. It has been designed to allow the easy addition of new methods, tools, and examples as they are developed and published. KBbox is available at https://kbbox.h-its.org/. |
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| Item Description: | Gesehen am 31.10.2019 |
| Physical Description: | Online Resource |
| ISSN: | 1549-960X |
| DOI: | 10.1021/acs.jcim.9b00485 |