ChemInform Abstract: Lessons from Natural Products Chemistry Can Offer Novel Approaches for Synthetic Chemistry in Drug Discovery

ChemInform ◽  
2012 ◽  
Vol 43 (43) ◽  
pp. no-no
Author(s):  
Natalya I. Vasilevich ◽  
Roman V. Kombarov ◽  
Dmitry V. Genis ◽  
Michael A. Kirpichenok
2012 ◽  
Vol 55 (16) ◽  
pp. 7003-7009 ◽  
Author(s):  
Natalya I. Vasilevich ◽  
Roman V. Kombarov ◽  
Dmitry V. Genis ◽  
Michael A. Kirpichenok

2015 ◽  
Vol 16 (2) ◽  
pp. 94-111 ◽  
Author(s):  
George Mogosanu ◽  
Alexandru Grumezescu ◽  
Keng-Shiang Huang ◽  
Ludovic Bejenaru ◽  
Cornelia Bejenaru

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 546
Author(s):  
Miroslava Nedyalkova ◽  
Vasil Simeonov

A cheminformatics procedure for a partitioning model based on 135 natural compounds including Flavonoids, Saponins, Alkaloids, Terpenes and Triterpenes with drug-like features based on a descriptors pool was developed. The knowledge about the applicability of natural products as a unique source for the development of new candidates towards deadly infectious disease is a contemporary challenge for drug discovery. We propose a partitioning scheme for unveiling drug-likeness candidates with properties that are important for a prompt and efficient drug discovery process. In the present study, the vantage point is about the matching of descriptors to build the partitioning model applied to natural compounds with diversity in structures and complexity of action towards the severe diseases, as the actual SARS-CoV-2 virus. In the times of the de novo design techniques, such tools based on a chemometric and symmetrical effect by the implied descriptors represent another noticeable sign for the power and level of the descriptors applicability in drug discovery in establishing activity and target prediction pipeline for unknown drugs properties.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Joelle Ngo Hanna ◽  
Boris D. Bekono ◽  
Luc C. O. Owono ◽  
Flavien A. A. Toze ◽  
James A. Mbah ◽  
...  

Abstract In the quest to know why natural products (NPs) have often been considered as privileged scaffolds for drug discovery purposes, many investigations into the differences between NPs and synthetic compounds have been carried out. Several attempts to answer this question have led to the investigation of the atomic composition, scaffolds and functional groups (FGs) of NPs, in comparison with synthetic drugs analysis. This chapter briefly describes an atomic enumeration method for chemical libraries that has been applied for the analysis of NP libraries, followed by a description of the main differences between NPs of marine and terrestrial origin in terms of their general physicochemical properties, most common scaffolds and “drug-likeness” properties. The last parts of the work describe an analysis of scaffolds and FGs common in NP libraries, focusing on huge NP databases, e.g. those in the Dictionary of Natural Products (DNP), NPs from cyanobacteria and the largest chemical class of NP – terpenoids.


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