In general, compared to synthetic drug and synthetic, drug-like compounds, natural products (NPs) are larger in molecular weight and more hydrophobic. They are also generally more structurally complex, in particular with regard to stereochemistry (number of chiral centers, number of fractions of Csp3 atoms, number of bridgehead atoms in the ring system) and 3D molecular shape. Computational tools are not only useful for physicochemical and structural properties characterization of natural products, but also for quantification of the NP-likeness of compounds by distinguishing NP and NP-like compounds from synthetic compounds with high precision.
BOC Sciences uses cheminformatics expertise to characterize the physicochemical and structural properties of NPs and to compare NPs with other small molecule drugs, drug-like compounds and other types of (organic) molecules. In addition, we also employ various computational tools in natural product design, natural product library design, selection of NPs (and NP derivatives and analogs) from mixed compound collections, and compound prioritization.
Figure 1. Screening a Natural Product-Based Library. (Bilal, Z.; et al. 2017)
NPs often show enormous diversity of ring systems, especially aliphatic systems. Regarding the atomic composition, the two most distinguishing features of NPs are the (on average) low number of nitrogen atoms and the high number of oxygen atoms compared to synthetic compounds.
NPs from different communities have different physicochemical and structural properties:
BOC Sciences has integrated diverse computational tools to assess the natural product-likeness of compounds in the library:
We use Bayesian statistics to quantify the NP-likeness of compounds based on the similarity of their fragments to known NP fragments.
Our teams have applied ECFP to identify NPs and NP-like compounds in a large number of molecules.
We firstly train this method on a large number of known NP and synthetic compounds. Then, a similarity map is plotted to highlight regions in a molecule that help to predict the molecule as NP or synthetic compound.
Our teams have introduced NC-MFP method to characterize the structure of NPs based on the scaffolds and fragments they comprise.
BOC Sciences provides professional, rapid and high-quality services of Property Analysis of Natural Products at competitive prices for global customers. Personalized and customized services of Property Analysis of Natural Products can satisfy any innovative scientific study demands. Our clients have direct access to our staff and prompt feedback to their inquiries. If you are interested in our services, please contact us immediately!
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BOC Sciences has rich experience in working with global customers in custom library synthesis of compounds and generating small to medium-sized libraries of target compounds. Our knowledge in generating a large number of target molecules in a remarkably shorter time enables quick biological screenings for affinities. With the target properties in mind, we deliver target molecules, by applying our extensive knowledge in drug discovery.