scholarly journals Recent advances in the rational design and optimization of antibacterial agents

MedChemComm ◽  
2016 ◽  
Vol 7 (9) ◽  
pp. 1694-1715 ◽  
Author(s):  
Jesse A. Jones ◽  
Kristopher G. Virga ◽  
Giuseppe Gumina ◽  
Kirk E. Hevener
Keyword(s):  
Drug Discovery ◽  
Rational Design ◽  
Antibacterial Agents ◽  
Antibacterial Drug ◽  
Design And Optimization ◽  
Recent Advances

Long past the historical “golden era” of antibacterial drug discovery, the modern “resistance era” is being countered by new legislation and advances in the rational design of antibacterial agents.

scholarly journals Assays and technologies for developing proteolysis targeting chimera degraders

2020 ◽  
Author(s):  
Xingui Liu ◽  
Xuan Zhang ◽  
Dongwen Lv ◽  
Yaxia Yuan ◽  
Guangrong Zheng ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Protein Degradation ◽  
Small Molecules ◽  
Rational Design ◽  
Degradation Pathway ◽  
New Techniques ◽  
Design And Optimization ◽  
Structure Activity ◽  
Ubiquitin Proteasome ◽  
Complicated Mechanism

Targeted protein degradation by small-molecule degraders represents an emerging mode of action in drug discovery. Proteolysis targeting chimeras (PROTACs) are small molecules that can recruit an E3 ligase and a protein of interest (POI) into proximity, leading to induced ubiquitination and degradation of the POI by the proteasome system. To date, the design and optimization of PROTACs remain empirical due to the complicated mechanism of induced protein degradation. Nevertheless, it is increasingly appreciated that profiling step-by-step along the ubiquitin-proteasome degradation pathway using biochemical and biophysical assays are essential in understanding the structure–activity relationship and facilitating the rational design of PROTACs. This review aims to summarize these assays and to discuss the potential of expanding the toolbox with other new techniques.

Recent Advances in Drug Repurposing for Parkinson’s Disease

2019 ◽  
Vol 26 (28) ◽  
pp. 5340-5362 ◽  
Author(s):  
Xin Chen ◽  
Giuseppe Gumina ◽  
Kristopher G. Virga
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Drug Discovery ◽  
De Novo ◽  
Drug Repositioning ◽  
Drug Repurposing ◽  
Cost Effective ◽  
New Drugs ◽  
Recent Advances ◽  
Clinical Drugs

:As a long-term degenerative disorder of the central nervous system that mostly affects older people, Parkinson’s disease is a growing health threat to our ever-aging population. Despite remarkable advances in our understanding of this disease, all therapeutics currently available only act to improve symptoms but cannot stop the disease progression. Therefore, it is essential that more effective drug discovery methods and approaches are developed, validated, and used for the discovery of disease-modifying treatments for Parkinson’s disease. Drug repurposing, also known as drug repositioning, or the process of finding new uses for existing or abandoned pharmaceuticals, has been recognized as a cost-effective and timeefficient way to develop new drugs, being equally promising as de novo drug discovery in the field of neurodegeneration and, more specifically for Parkinson’s disease. The availability of several established libraries of clinical drugs and fast evolvement in disease biology, genomics and bioinformatics has stimulated the momentums of both in silico and activity-based drug repurposing. With the successful clinical introduction of several repurposed drugs for Parkinson’s disease, drug repurposing has now become a robust alternative approach to the discovery and development of novel drugs for this disease. In this review, recent advances in drug repurposing for Parkinson’s disease will be discussed.

Current Scenario in Structure and Ligand-Based Drug Design on Anti-colon Cancer Drugs

2019 ◽  
Vol 24 (32) ◽  
pp. 3829-3841 ◽  
Author(s):  
Lakshmanan Loganathan ◽  
Karthikeyan Muthusamy
Keyword(s):  
Drug Discovery ◽  
Drug Design ◽  
Anticancer Agent ◽  
Computational Power ◽  
Cancer Drugs ◽  
Recent Advances ◽  
Anti Cancer ◽  
Drug Designing ◽  
Current Scenario ◽  
Molecular Modeling Studies

Worldwide, colorectal cancer takes up the third position in commonly detected cancer and fourth in cancer mortality. Recent progress in molecular modeling studies has led to significant success in drug discovery using structure and ligand-based methods. This study highlights aspects of the anticancer drug design. The structure and ligand-based drug design are discussed to investigate the molecular and quantum mechanics in anti-cancer drugs. Recent advances in anticancer agent identification driven by structural and molecular insights are presented. As a result, the recent advances in the field and the current scenario in drug designing of cancer drugs are discussed. This review provides information on how cancer drugs were formulated and identified using computational power by the drug discovery society.

Protein-Protein Interaction (PPI) Network: Recent Advances in Drug Discovery

2017 ◽  
Vol 18 (1) ◽  
pp. 5-10 ◽  
Author(s):  
Alexiou Athanasios ◽  
Vairaktarakis Charalampos ◽  
Tsiamis Vasileios ◽  
Ghulam Ashraf
Keyword(s):  
Drug Discovery ◽  
Protein Interaction ◽  
Ppi Network ◽  
Protein Protein Interaction ◽  
Recent Advances

A Review on Quantum Dots: Synthesis to In- silico Analysis as Next Generation Antibacterial Agents

2019 ◽  
Vol 20 (3) ◽  
pp. 255-262 ◽  
Author(s):  
Sounik Manna ◽  
Munmun Ghosh ◽  
Ranadhir Chakraborty ◽  
Sudipto Ghosh ◽  
Santi M. Mandal
Keyword(s):  
Quantum Dots ◽  
Pathogenic Bacteria ◽  
Antibacterial Agents ◽  
Antimicrobial Properties ◽  
Binding Potential ◽  
Antibacterial Drug ◽  
Next Generation ◽  
Mechanism Of Reaction ◽  
High Level ◽  
Membrane Components

Succumbing to Multi-Drug Resistant (MDR) bacteria is a great distress to the recent health care system. Out of the several attempts that have been made to kill MDR pathogens, a few gained short-lived success. The failures, of the discovered or innovated antimicrobials, were mostly due to their high level of toxicity to hosts and the phenomenal rate of developing resistance by the pathogens against the new arsenal. Recently, a few quantum dots were tested against the pathogenic bacteria and therefore, justified for potential stockpiling of next-generation antibacterial agents. The key players for antimicrobial properties of quantum dots are considered to be Reactive Oxygen Species (ROS). The mechanism of reaction between bacteria and quantum dots needs to be better understood. They are generally targeted towards the cell wall and membrane components as lipoteichoic acid and phosphatidyl glycerol of bacteria have been documented here. In this paper, we have attempted to simulate ZnS quantum dots and have analysed their mechanism of reaction as well as binding potential to the above bacterial membrane components using CDOCKER. Results have shown a high level of antibacterial activity towards several pathogenic bacteria which specify their potentiality for future generation antibacterial drug development.

Recent advances in the rational design of 2D MXenes in energy conversion and storage systems

2021 ◽  
Author(s):  
Nayab Sheikh ◽  
Muhammad Bilal Tahir ◽  
Nisar Fatima ◽  
Muhammad Sagir ◽  
Muhammad Pervaiz ◽  
...  
Keyword(s):  
Energy Conversion ◽  
Rational Design ◽  
Storage Systems ◽  
Recent Advances ◽  
Energy Conversion And Storage ◽  
And Storage

scholarly journals Recent Advances in Kinase Drug Discovery Part I: The Editors’ Take

2021 ◽  
Vol 22 (14) ◽  
pp. 7560
Author(s):  
Julie A. Tucker ◽  
Mathew P. Martin
Keyword(s):  
Drug Discovery ◽  
Research Articles ◽  
Special Issue ◽  
Recent Advances ◽  
Enzyme Family ◽  
Selection Of

This special issue on Advances in Kinase Drug Discovery provides a selection of research articles and topical reviews covering all aspects of drug discovery targeting the phosphotransferase enzyme family [...]

scholarly journals Recent Advances in Disease Modeling and Drug Discovery for Diabetes Mellitus Using Induced Pluripotent Stem Cells

2016 ◽  
Vol 17 (2) ◽  
pp. 256 ◽  
Author(s):  
Mohammed Kawser Hossain ◽  
Ahmed Abdal Dayem ◽  
Jihae Han ◽  
Subbroto Kumar Saha ◽  
Gwang-Mo Yang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Stem Cells ◽  
Drug Discovery ◽  
Induced Pluripotent Stem Cells ◽  
Pluripotent Stem Cells ◽  
Disease Modeling ◽  
Recent Advances ◽  
Induced Pluripotent
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