Structure-Based Drug Design Strategies in Medicinal Chemistry

2009 ◽  
Vol 9 (9) ◽  
pp. 771-790 ◽  
Author(s):  
Adriano Andricopulo ◽  
Lívia Salum ◽  
Donald Abraham
2020 ◽  
Vol 17 (8) ◽  
pp. 943-953
Author(s):  
Zhe Yin ◽  
Donglin Yang ◽  
Jun Wang ◽  
Yuequan Jiang

Proteins of B-cell lymphoma (Bcl-2) family are key regulators of apoptosis and are involved in the pathogenesis of various cancers. Disrupting the interactions between the antiapoptotic and proapoptotic Bcl-2 members is an attractive strategy to reactivate the apoptosis of cancer cells. Structure-based drug design (SBDD) has been successfully applied to the discovery of small molecule inhibitors targeting Bcl-2 proteins in past decades. Up to now, many Bcl-2 inhibitors with different paralogue selectivity profiles have been developed and some were used in clinical trials. This review focused on the recent applications of SBDD strategies in the development of small molecule inhibitors targeting Bcl-2 family proteins.


2012 ◽  
Vol 84 (7) ◽  
pp. 1479-1542 ◽  
Author(s):  
Mohammad H. El-Dakdouki ◽  
Paul W. Erhardt

The benefits of utilizing marketed drugs as starting points to discover new therapeutic agents have been well documented within the IUPAC series of books that bear the title Analogue-based Drug Discovery (ABDD). Not as clearly demonstrated, however, is that ABDD also contributes to the elaboration of new basic principles and alternative drug design strategies that are useful to the field of medicinal chemistry in general. After reviewing the ABDD programs that have evolved around the area of microtubule-stabilizing chemo-therapeutic agents, the present article delineates the associated research activities that additionally contributed to general strategies that can be useful for prodrug design, identifying pharmacophores, circumventing multidrug resistance (MDR), and achieving targeted drug distribution.


Author(s):  
Marina C. Primi ◽  
Maurício T. Tavares ◽  
Larry L. Klein ◽  
Tina Izard ◽  
Carlos M. R. Sant'Anna ◽  
...  

Background: Tuberculosis (TB) has been a challenging disease worldwide, especially for the neglected poor populations. Presently, there are approximately 2 billion people infected with TB worldwide and 10 million people in the world fell ill with active TB, leading to 1.5 million deaths. Introduction: The classic treatment is extensive and the drug and multi drug resistance of Mycobacterium tuberculosis has been a threat to the efficacy of the drugs currently used. Therefore, the rational design of new anti TB candidates is urgently needed. Methods: With the aim of contributing to face this challenge, 78 compounds have been proposed based on SBDD (Structure Based Drug Design) strategies applied to target the M. tuberculosis phosphopantetheine adenylyltransferase (MtPPAT) enzyme. Ligand Based Drug Design (LBDD) strategies were also used for establishing structure activity relationships (SAR) and for optimizing the structures. MtPPAT is important for the biosynthesis of coenzyme A (CoA) and it has been studied recently toward the discovery of new inhibitors. Results : After docking simulations and enthalpy calculations, the interaction of selected compounds with MtPPAT was found to be energetically favorable. The most promising compounds were then synthesized and submitted to anti M. tuberculosis and MtPPAT inhibition assays. Conclusion: One of the compounds synthesized (MCP163), showed the highest activity in both of these assays.


Synlett ◽  
2016 ◽  
Vol 27 (05) ◽  
pp. 641-649 ◽  
Author(s):  
Wibke Diederich ◽  
Maren Kuhnert

2018 ◽  
Vol 18 (12) ◽  
pp. 998-1006 ◽  
Author(s):  
Xin Wang ◽  
Ke Song ◽  
Li Li ◽  
Lijiang Chen

Over the past ten years, the number of three-dimensional protein structures identified by advanced science and technology increases, and the gene information becomes more available than ever before as well. The development of computing science becomes another driving force which makes it possible to use computational methods effectively in various phases of the drug design and research. Now Structure-Based Drug Design (SBDD) tools are widely used to help researchers to predict the position of small molecules within a three-dimensional representation of the protein structure and estimate the affinity of ligands to target protein with considerable accuracy and efficiency. They also accelerate discovery speed of potent drug and reduce the cost and times for drug research. Here we present an overview of SBDD used in drug discovery and highlight its recent successes and major challenges to current SBDD methodologies.


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