| Full text | |
| Author(s): |
Guerra, Joao V. S.
;
Alves, Luiz F. G.
;
Bourissou, Didier
;
Lopes-de-Oliveira, Paulo S.
;
Szaloki, Gyorgy
Total Authors: 5
|
| Document type: | Journal article |
| Source: | JOURNAL OF CHEMICAL INFORMATION AND MODELING; v. 63, n. 12, p. 14-pg., 2023-05-02. |
| Abstract | |
Confining molecular guests within artificial hosts has provided a major driving force in the rational design of supramolecular cages with tailored properties. Over the last 30 years, a set of design strategies have been developed that enabled the controlled synthesis of a myriad of cages. Recently, there has been a growing interest in involving in silico methods in this toolbox. Cavity shape and size are important parameters that can be easily accessed by inexpensive geometric algorithms. Although these algorithms are well developed for the detection of nonartificial cavities (e.g., enzymes), they are not routinely used for the rational design of supramolecular cages. In order to test the capabilities of this tool, we have evaluated the performance and characteristics of seven different cavity characterization software in the context of 22 analogues of well-known supramolecular cages. Among the tested software, KVFinder project and Fpocket proved to be the most software to characterize supramolecular cavities. With the results of this work, we aim to popularize this underused technique within the supramolecular community. (AU) | |
| FAPESP's process: | 18/00629-0 - Detection and characterization of protein cavities using parallel computing and molecular descriptors |
| Grantee: | Paulo Sergio Lopes de Oliveira |
| Support Opportunities: | Regular Research Grants |