This study involved the assessment of the MNI2SX/Def2TZVP and the MNI2SX models to enhance the understanding of the structural composition of marine peptide Hemisterline derivatives A and B used in cancer treatment.
The Conceptual Density Functional theory was used in the calculation of molecular properties of the system chemical descriptors during the study. Integration of the active molecular regions into their respective Fukui functions was used in the selection of radical, electrophilic, and nucleophilic attacks.
Additionally, the proposed correlation between global hardness and the pKa was used as the basis of deriving accurate predictions for the pKa values while a homology technique was used in the prediction of bioactivity and bioavailability scores of the peptides under investigation.
Table of Contents
1. Abstract
2. Introduction
3. Results and discussion
4. Conclusion
5. References
Research Objectives and Themes
This study aims to investigate the chemical reactivity and bioactivity of marine peptide Hemiasterlin derivatives (A and B) using Conceptual Density Functional Theory (DFT) to facilitate their application in cancer treatment. The research focuses on computational modeling of structural properties, acidity constants (pKa), and pharmacological bioactivity scores to enhance drug development processes.
- Application of Conceptual Density Functional Theory for molecular property calculation.
- Evaluation of chemical reactivity through global and local reactivity descriptors (Fukui functions).
- Computational prediction of pKa values based on global hardness.
- Assessment of bioactivity and drug-likeness using Lipinski’s Rule of Five and Molinspiration software.
Excerpt from the Book
Introduction
The structural diversity of numerous biologically active metabolites that are found in the marine ecosystems have been used in the development of new categories of agents that can be used in anticancer therapies. The successful development of the anticancer agents has overcome the challenges experienced in the development of drugs from natural resources due to the structural complexity of the agent sourcing process. Despite the challenges several anticancer drugs derived from the marine life agents have been tested and approved as highly effective therapeutic interventions within the past few years.
Research reveals that marine life forms contain diverse clinical and preclinical compounds that are potentially vital in the development of new drug formulas for the treatment of human health complications. Researchers have carried out numerous studies to understand the structural and biosynthetic assembling of the marine agents through re-engineering techniques, interdisciplinary development processes, and innovative manipulation within the gene clusters of these agents.
Summary of Chapters
Abstract: Provides a concise overview of the use of Conceptual Density Functional Theory to assess the molecular properties, pKa, and bioactivity of Hemiasterlin derivatives A and B.
Introduction: Outlines the significance of marine ecosystems as a source for anticancer drug development and the role of Hemiasterlin in leukemia treatment.
Results and discussion: Presents the computational findings, including electronic energies, reactivity descriptors, pKa values, and bioactivity scores for the studied peptides.
Conclusion: Summarizes the effectiveness of the computational methodology in evaluating the reactivity and pharmacological potential of marine peptides for anticancer applications.
References: Lists the academic sources and computational models utilized to support the study’s findings.
Keywords
Hemiasterlin, Marine Peptides, Conceptual Density Functional Theory, Anticancer, Chemical Reactivity, Fukui Functions, pKa, Bioactivity, Lipinski Rule of Five, Molecular Modeling, DFTBA, Pharmacology, Drug Development, Leukemia, Molecular Descriptors
Frequently Asked Questions
What is the primary focus of this research?
The research focuses on evaluating the chemical reactivity and bioactivity rates of Hemiasterlin derivatives (A and B) to explore their potential as anticancer agents.
What are the central themes discussed in the work?
The key themes include marine natural product research, computational chemistry, structural biology, and the application of density functional theory in pharmaceutical drug design.
What is the core research objective?
The main objective is to use Conceptual Density Functional Theory (DFT) to calculate and predict molecular properties, reactivity, and pKa values of Hemiasterlin derivatives to support the development of novel cancer treatments.
Which scientific methodologies are employed?
The study uses Conceptual Density Functional Theory (DFT), the DFTBA program, ChemAxon Calculator Plugins, and molecular modeling models like MNI2SX/Def2TZVP/H2O.
What topics are covered in the main body?
The main body covers the computational methodology, the calculation of global and local reactivity descriptors (such as Fukui functions and electronegativity), pKa predictions, and the assessment of bioactivity scores via Lipinski's Rule of Five.
Which keywords define this study?
Important keywords include Hemiasterlin, Marine Peptides, DFT, Anticancer, Bioactivity, and Chemical Reactivity.
How does the study use Fukui functions?
Fukui functions are utilized as local reactivity descriptors to identify the active molecular regions prone to radical, electrophilic, and nucleophilic attacks.
What is the significance of the pKa calculations for these peptides?
The pKa values are derived from the global hardness of the molecules and are critical for understanding the drug delivery mechanisms and the chemical behavior of the peptides in physiological environments.
What does the study conclude regarding the bioactivity of the peptides?
The study concludes that the Hemiasterlin derivatives exhibit moderate bioactivity scores, confirming their potential utility in future pharmaceutical drug development.
- Quote paper
- Washington Mutwiri (Author), 2020, Chemical Reactivity and Bioactivity Rates Of Marine Peptides Hemiasterlin Derivatives. Cancer Treatment Through Conceptual Density Functional Theory, Munich, GRIN Verlag, https://www.grin.com/document/538132
