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 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.

Pharmacokinetics and its role in small molecule drug discovery research

2001 ◽  
Vol 21 (5) ◽  
pp. 382-396 ◽  
Author(s):  
Graham R. Jang ◽  
Robert Z. Harris ◽  
David T. Lau
Keyword(s):  
Drug Discovery ◽  
Small Molecule ◽  
Small Molecule Drug ◽  
Discovery Research ◽  
Drug Discovery Research

ChemInform Abstract: Pharmacokinetics and Its Role in Small Molecule Drug Discovery Research

ChemInform ◽  
2010 ◽  
Vol 32 (46) ◽  
pp. no-no
Author(s):  
Graham R. Jang ◽  
Robert Z. Harris ◽  
David T. Lau
Keyword(s):  
Drug Discovery ◽  
Small Molecule ◽  
Small Molecule Drug ◽  
Discovery Research ◽  
Drug Discovery Research

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 Molecular docking analysis of compounds from Justica adhatoda L with the MUC1 oncoprotein

2020 ◽  
Vol 16 (11) ◽  
pp. 937-941
Author(s):  
Ramajayam Govindan ◽  
Keyword(s):  
Molecular Docking ◽  
Drug Discovery ◽  
Docking Analysis ◽  
Molecular Binding ◽  
Different Types ◽  
Molecular Docking Analysis

The MUC1 oncoprotein is known to be linked with different types of cancer. Therefore, it is of interest to document the molecular docking analysis of compounds from Justica adhatoda L with the MUC1 oncoprotein. We report the structure based molecular binding features compounds such as amrinone, ethambutol, pyrazinamide and vasicoline the MUC1 oncoprotein for further consideration in drug discovery.

scholarly journals A New Big-Data Paradigm for Target Identification and Drug Discovery

2017 ◽  
Author(s):  
Neel S. Madhukar ◽  
Prashant K. Khade ◽  
Linda Huang ◽  
Kaitlyn Gayvert ◽  
Giuseppe Galletti ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Small Molecules ◽  
Clinical Application ◽  
Small Molecule ◽  
Target Identification ◽  
Clinical Development ◽  
Data Types ◽  
Public Data ◽  
Drug Target Identification ◽  
Approved Drugs

AbstractDrug target identification is one of the most important aspects of pre-clinical development yet it is also among the most complex, labor-intensive, and costly. This represents a major issue, as lack of proper target identification can be detrimental in determining the clinical application of a bioactive small molecule. To improve target identification, we developed BANDIT, a novel paradigm that integrates multiple data types within a Bayesian machine-learning framework to predict the targets and mechanisms for small molecules with unprecedented accuracy and versatility. Using only public data BANDIT achieved an accuracy of approximately 90% over 2000 different small molecules – substantially better than any other published target identification platform. We applied BANDIT to a library of small molecules with no known targets and generated ∼4,000 novel molecule-target predictions. From this set we identified and experimentally validated a set of novel microtubule inhibitors, including three with activity on cancer cells resistant to clinically used anti-microtubule therapies. We next applied BANDIT to ONC201 – an active anti- cancer small molecule in clinical development – whose target has remained elusive since its discovery in 2009. BANDIT identified dopamine receptor 2 as the unexpected target of ONC201, a prediction that we experimentally validated. Not only does this open the door for clinical trials focused on target-based selection of patient populations, but it also represents a novel way to target GPCRs in cancer. Additionally, BANDIT identified previously undocumented connections between approved drugs with disparate indications, shedding light onto previously unexplained clinical observations and suggesting new uses of marketed drugs. Overall, BANDIT represents an efficient and highly accurate platform that can be used as a resource to accelerate drug discovery and direct the clinical application of small molecule therapeutics with improved precision.

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