scholarly journals ProSelection: A Novel Algorithm to Select Proper Protein Structure Subsets for in Silico Target Identification and Drug Discovery Research

2017 ◽  
Vol 57 (11) ◽  
pp. 2686-2698 ◽  
Author(s):  
Nanyi Wang ◽  
Lirong Wang ◽  
Xiang-Qun Xie
Keyword(s):  
Protein Structure ◽  
Drug Discovery ◽  
In Silico ◽  
Target Identification ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Novel Algorithm

Different Types of Molecular Docking Based on Variations of Interacting Molecules

2016 ◽  
pp. 148-172 ◽  
Author(s):  
Amit Das ◽  
Simanti Bhattacharya
Keyword(s):  
Molecular Docking ◽  
Drug Discovery ◽  
Small Molecule ◽  
Target Identification ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Lead Identification ◽  
Different Types ◽  
Detailed List ◽  
Clear Idea

Molecular docking plays an important role in drug discovery research by facilitating target identification, target validation, virtual screening for lead identification and lead optimization. Depending upon the nature of the disease of interest, targets can be either protein or DNA while drugs are mostly organic small molecules. Different types of molecular docking techniques like protein-protein or protein-DNA or protein-small molecule or DNA-small molecule are employed for achieving the above mentioned objectives. This chapter provides a clear idea of the position of molecular docking in drug discovery with detailed discussion on different types of molecular docking based on the varieties of interacting partners. Subsequently the authors provide a detailed list of tools that can be used for docking in drug discovery and discus some examples of molecular docking in drug discovery before concluding with a remark on future areas of improvement in molecular docking related to drug discovery.

scholarly journals In Silico Strategies in Tuberculosis Drug Discovery

Molecules ◽  
2020 ◽  
Vol 25 (3) ◽  
pp. 665
Author(s):  
Stephani Joy Y. Macalino ◽  
Junie B. Billones ◽  
Voltaire G. Organo ◽  
Maria Constancia O. Carrillo
Keyword(s):  
Drug Resistance ◽  
Drug Discovery ◽  
In Silico ◽  
Global Public Health ◽  
Computational Tools ◽  
Protein Targets ◽  
Tb Treatment ◽  
Discovery Research ◽  
Poor Patient Compliance ◽  
Drug Discovery Research

Tuberculosis (TB) remains a serious threat to global public health, responsible for an estimated 1.5 million mortalities in 2018. While there are available therapeutics for this infection, slow-acting drugs, poor patient compliance, drug toxicity, and drug resistance require the discovery of novel TB drugs. Discovering new and more potent antibiotics that target novel TB protein targets is an attractive strategy towards controlling the global TB epidemic. In silico strategies can be applied at multiple stages of the drug discovery paradigm to expedite the identification of novel anti-TB therapeutics. In this paper, we discuss the current TB treatment, emergence of drug resistance, and the effective application of computational tools to the different stages of TB drug discovery when combined with traditional biochemical methods. We will also highlight the strengths and points of improvement in in silico TB drug discovery research, as well as possible future perspectives in this field.

scholarly journals Different Types of Molecular Docking Based on Variations of Interacting Molecules

2017 ◽  
pp. 795-819
Author(s):  
Amit Das ◽  
Simanti Bhattacharya
Keyword(s):  
Molecular Docking ◽  
Drug Discovery ◽  
Small Molecule ◽  
Target Identification ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Lead Identification ◽  
Different Types ◽  
Detailed List ◽  
Clear Idea

Molecular docking plays an important role in drug discovery research by facilitating target identification, target validation, virtual screening for lead identification and lead optimization. Depending upon the nature of the disease of interest, targets can be either protein or DNA while drugs are mostly organic small molecules. Different types of molecular docking techniques like protein-protein or protein-DNA or protein-small molecule or DNA-small molecule are employed for achieving the above mentioned objectives. This chapter provides a clear idea of the position of molecular docking in drug discovery with detailed discussion on different types of molecular docking based on the varieties of interacting partners. Subsequently the authors provide a detailed list of tools that can be used for docking in drug discovery and discus some examples of molecular docking in drug discovery before concluding with a remark on future areas of improvement in molecular docking related to drug discovery.

scholarly journals Modern Approaches in the Discovery and Development of Plant-Based Natural Products and Their Analogues as Potential Therapeutic Agents

Molecules ◽  
2022 ◽  
Vol 27 (2) ◽  
pp. 349
Author(s):  
Asim Najmi ◽  
Sadique A. Javed ◽  
Mohammed Al Bratty ◽  
Hassan A. Alhazmi
Keyword(s):  
Natural Products ◽  
Drug Discovery ◽  
Natural Product ◽  
Therapeutic Agents ◽  
Throughput Capacity ◽  
Scientific Interest ◽  
Comprehensive Overview ◽  
Natural Sources ◽  
Discovery Research ◽  
Drug Discovery Research

Natural products represents an important source of new lead compounds in drug discovery research. Several drugs currently used as therapeutic agents have been developed from natural sources; plant sources are specifically important. In the past few decades, pharmaceutical companies demonstrated insignificant attention towards natural product drug discovery, mainly due to its intrinsic complexity. Recently, technological advancements greatly helped to address the challenges and resulted in the revived scientific interest in drug discovery from natural sources. This review provides a comprehensive overview of various approaches used in the selection, authentication, extraction/isolation, biological screening, and analogue development through the application of modern drug-development principles of plant-based natural products. Main focus is given to the bioactivity-guided fractionation approach along with associated challenges and major advancements. A brief outline of historical development in natural product drug discovery and a snapshot of the prominent natural drugs developed in the last few decades are also presented. The researcher’s opinions indicated that an integrated interdisciplinary approach utilizing technological advances is necessary for the successful development of natural products. These involve the application of efficient selection method, well-designed extraction/isolation procedure, advanced structure elucidation techniques, and bioassays with a high-throughput capacity to establish druggability and patentability of phyto-compounds. A number of modern approaches including molecular modeling, virtual screening, natural product library, and database mining are being used for improving natural product drug discovery research. Renewed scientific interest and recent research trends in natural product drug discovery clearly indicated that natural products will play important role in the future development of new therapeutic drugs and it is also anticipated that efficient application of new approaches will further improve the drug discovery campaign.

scholarly journals Induced Pluripotent HD Monkey Stem Cells Derived Neural Cells for Drug Discovery

2016 ◽  
Vol 22 (6) ◽  
pp. 696-705 ◽  
Author(s):  
Tanut Kunkanjanawan ◽  
Richard Carter ◽  
Kwan-Sung Ahn ◽  
Jinjing Yang ◽  
Rangsun Parnpai ◽  
...  
Keyword(s):  
Stem Cells ◽  
Drug Discovery ◽  
Trinucleotide Repeat ◽  
Yeast Cells ◽  
Neural Cells ◽  
Primate Model ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Induced Pluripotent

Huntington’s disease (HD) is a neurodegenerative disease caused by an expansion of CAG trinucleotide repeat (polyglutamine [polyQ]) in the huntingtin ( HTT) gene, which leads to the formation of mutant HTT (mHTT) protein aggregates. In the nervous system, an accumulation of mHTT protein results in glutamate-mediated excitotoxicity, proteosome instability, and apoptosis. Although HD pathogenesis has been extensively studied, effective treatment of HD has yet to be developed. Therapeutic discovery research in HD has been reported using yeast, cells derived from transgenic animal models and HD patients, and induced pluripotent stem cells from patients. A transgenic nonhuman primate model of HD (HD monkey) shows neuropathological, behavioral, and molecular changes similar to an HD patient. In addition, neural progenitor cells (NPCs) derived from HD monkeys can be maintained in culture and differentiated to neural cells with distinct HD cellular phenotypes including the formation of mHTT aggregates, intranuclear inclusions, and increased susceptibility to oxidative stress. Here, we evaluated the potential application of HD monkey NPCs and neural cells as an in vitro model for HD drug discovery research.

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