scholarly journals Natural and engineered kallikrein inhibitors: an emerging pharmacopoeia

2010 ◽  
Vol 391 (4) ◽  
Author(s):  
Joakim E. Swedberg ◽  
Simon J. de Veer ◽  
Jonathan M. Harris
Keyword(s):  
Blood Pressure ◽  
Drug Design ◽  
Protease Inhibitor ◽  
Small Molecule ◽  
Therapeutic Intervention ◽  
Serine Proteases ◽  
Small Molecule Inhibitors ◽  
Current Status ◽  
Naturally Occurring ◽  
Kallikrein Inhibitors

AbstractThe kallikreins and kallikrein-related peptidases are serine proteases that control a plethora of developmental and homeostatic phenomena, ranging from semen liquefaction to skin desquamation and blood pressure. The diversity of roles played by kallikreins has stimulated considerable interest in these enzymes from the perspective of diagnostics and drug design. Kallikreins already have well-established credentials as targets for therapeutic intervention and there is increasing appreciation of their potential both as biomarkers and as targets for inhibitor design. Here, we explore the current status of naturally occurring kallikrein protease-inhibitor complexes and illustrate how this knowledge can interface with strategies for rational re-engineering of bioscaffolds and design of small-molecule inhibitors.

Zoning in on Tankyrases: A Brief Review on the Past, Present and Prospective Studies

2020 ◽  
Vol 19 (16) ◽  
pp. 1920-1934
Author(s):  
Xylia Q. Peters ◽  
Thembeka H. Malinga ◽  
Clement Agoni ◽  
Fisayo A. Olotu ◽  
Mahmoud E.S. Soliman
Keyword(s):  
Drug Design ◽  
Small Molecule ◽  
Small Molecule Inhibitors ◽  
Design Methods ◽  
Selective Inhibitors ◽  
Computer Aided Drug Design ◽  
Cellular Processes ◽  
Conventional Drug ◽  
Computer Aided ◽  
Tankyrase 1

Background: Tankyrases are known for their multifunctionalities within the poly(ADPribose) polymerases family and playing vital roles in various cellular processes which include the regulation of tumour suppressors. Tankyrases, which exist in two isoforms; Tankyrase 1 and 2, are highly homologous and an integral part of the Wnt β -catenin pathway that becomes overly dysregulated when hijacked by pro-carcinogenic machineries. Methods: In this review, we cover the distinct roles of the Tankyrase isoforms and their involvement in the disease pathogenesis. Also, we provide updates on experimentally and computationally derived antagonists of Tankyrase whilst highlighting the precedence of integrative computer-aided drug design methods towards the discovery of selective inhibitors. Results: Despite the high prospects embedded in the therapeutic targeting and blockade of Tankyrase isoforms, the inability of small molecule inhibitors to achieve selective targeting has remained a major setback, even until date. This explains numerous incessant drug design efforts geared towards the development of highly selective inhibitors of the respective Tankyrase isoforms since they mediate distinct aberrancies in disease progression. Therefore, considering the setbacks of conventional drug design methods, can computer-aided approaches actually save the day? Conclusion: The implementation of computer-aided drug design techniques in Tankyrase research could help complement experimental methods and facilitate ligand/structure-based design and discovery of small molecule inhibitors with enhanced selectivity.

scholarly journals Structure of human tankyrase 1 in complex with small-molecule inhibitors PJ34 and XAV939

2012 ◽  
Vol 68 (2) ◽  
pp. 115-118 ◽  
Author(s):  
Christina A. Kirby ◽  
Atwood Cheung ◽  
Aleem Fazal ◽  
Michael D. Shultz ◽  
Travis Stams
Keyword(s):  
Drug Design ◽  
Crystal Structures ◽  
Small Molecule ◽  
Small Molecule Inhibitors ◽  
Donor Site ◽  
Structure Based Drug Design ◽  
Crystallization System ◽  
Tankyrase 1

The crystal structures of tankyrase 1 (TNKS1) in complex with two small-molecule inhibitors, PJ34 and XAV939, both at 2.0 Å resolution, are reported. The structure of TNKS1 in complex with PJ34 reveals two molecules of PJ34 bound in the NAD+donor pocket. One molecule is in the nicotinamide portion of the pocket, as previously observed in other PARP structures, while the second molecule is bound in the adenosine portion of the pocket. Additionally, unlike the unliganded crystallization system, the TNKS1–PJ34 crystallization system has the NAD+donor site accessible to bulk solvent in the crystal, which allows displacement soaking. The TNKS1–PJ34 crystallization system was used to determine the structure of TNKS1 in complex with XAV939. These structures provide a basis for the start of a structure-based drug-design campaign for TNKS1.

scholarly journals Strategies for Targeting SARS CoV-2: Small Molecule Inhibitors—The Current Status

2020 ◽  
Vol 11 ◽  
Author(s):  
Narasimha M. Beeraka ◽  
Surya P. Sadhu ◽  
SubbaRao V. Madhunapantula ◽  
Rajeswara Rao Pragada ◽  
Andrey A. Svistunov ◽  
...  
Keyword(s):  
Small Molecule ◽  
Small Molecule Inhibitors ◽  
Current Status

scholarly journals Computer-Aided Drug Design of β-Secretase, γ-Secretase and Anti-Tau Inhibitors for the Discovery of Novel Alzheimer’s Therapeutics

2020 ◽  
Vol 21 (3) ◽  
pp. 703 ◽  
Author(s):  
Varnavas D. Mouchlis ◽  
Georgia Melagraki ◽  
Lefteris C. Zacharia ◽  
Antreas Afantitis
Keyword(s):  
Drug Design ◽  
Small Molecule ◽  
Small Molecule Inhibitors ◽  
Amyloid Β ◽  
Review Article ◽  
Computer Aided Drug Design ◽  
Computer Aided ◽  
Aggregation Inhibitors ◽  
Druggable Targets ◽  
Computational Molecular Modeling

Aging-associated neurodegenerative diseases, which are characterized by progressive neuronal death and synapses loss in human brain, are rapidly growing affecting millions of people globally. Alzheimer’s is the most common neurodegenerative disease and it can be caused by genetic and environmental risk factors. This review describes the amyloid-β and Tau hypotheses leading to amyloid plaques and neurofibrillary tangles, respectively which are the predominant pathways for the development of anti-Alzheimer’s small molecule inhibitors. The function and structure of the druggable targets of these two pathways including β-secretase, γ-secretase, and Tau are discussed in this review article. Computer-Aided Drug Design including computational structure-based design and ligand-based design have been employed successfully to develop inhibitors for biomolecular targets involved in Alzheimer’s. The application of computational molecular modeling for the discovery of small molecule inhibitors and modulators for β-secretase and γ-secretase is summarized. Examples of computational approaches employed for the development of anti-amyloid aggregation and anti-Tau phosphorylation, proteolysis and aggregation inhibitors are also reported.

Structure-based Drug Design Strategies in the Development of Small Molecule Inhibitors Targeting Bcl-2 Family Proteins

2020 ◽  
Vol 17 (8) ◽  
pp. 943-953
Author(s):  
Zhe Yin ◽  
Donglin Yang ◽  
Jun Wang ◽  
Yuequan Jiang
Keyword(s):  
Clinical Trials ◽  
Drug Design ◽  
B Cell ◽  
Cancer Cells ◽  
Small Molecule ◽  
Small Molecule Inhibitors ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Design Strategies ◽  
Structure Based Drug Design

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.

Computer‐aided drug design of small molecule inhibitors of the ERCC1‐XPF protein–protein interaction

2020 ◽  
Vol 95 (4) ◽  
pp. 460-471 ◽  
Author(s):  
Francesco Gentile ◽  
Ahmed H. Elmenoufy ◽  
Gloria Ciniero ◽  
David Jay ◽  
Feridoun Karimi‐Busheri ◽  
...  
Keyword(s):  
Drug Design ◽  
Small Molecule ◽  
Protein Interaction ◽  
Small Molecule Inhibitors ◽  
Computer Aided Drug Design ◽  
Protein Protein Interaction ◽  
Computer Aided
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