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Related Concept Videos

Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

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Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
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2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

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Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
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VSEPR Theory02:37

VSEPR Theory

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Valence shell electron-pair repulsion theory (VSEPR theory) enables us to predict the molecular structure around a central atom from an examination of the number of bonds and lone electron pairs in its Lewis structure. The VSEPR model assumes that electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between these electron pairs by maximizing the distance between them. The electrons in the valence shell of a central atom form either bonding...
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G Protein-coupled Receptors01:15

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G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
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Resonance and Hybrid Structures02:16

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According to the theory of resonance, if two or more Lewis structures with the same arrangement of atoms can be written for a molecule, ion, or radical, the actual distribution of electrons is an average of that shown by the various Lewis structures.
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Structure of Benzene: Kekulé Model01:07

Structure of Benzene: Kekulé Model

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In 1865, August Kekule suggested the structure of benzene according to the structural theory of organic chemistry based on the three assertions—formula of benzene is C6H6, all the hydrogens of benzene are equivalent, and each carbon must have four bonds due to its tetravalency.
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Related Experiment Video

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Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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Exhaustive Structure Generation for Inverse-QSPR/QSAR.

Tomoyuki Miyao1, Masamoto Arakawa1, Kimito Funatsu2

  • 1Department of Chemical System Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan phone: (+ 81) 03-5841-7751, fax: (+81) 03-5841-777.

Molecular Informatics
|July 28, 2016
PubMed
Summary

This study introduces an inverse quantitative structure-property relationship (QSPR) method for exhaustive chemical structure generation. The approach successfully identifies molecules with specific desired properties, aiding computer-aided molecular design.

Keywords:
ChemoinformaticsDrug designInverse-QSARInverse-QSPRMolecular designStructure generation

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Area of Science:

  • Computational chemistry
  • Cheminformatics
  • Molecular modeling

Background:

  • Quantitative structure-property relationship (QSPR) and quantitative structure-activity relationship (QSAR) models are crucial for computer-aided molecular design.
  • The primary goal is to generate novel chemical structures with desired properties predicted by these models.

Purpose of the Study:

  • To propose a novel method for exhaustive chemical structure generation using inverse QSPR/QSAR.
  • To demonstrate the method's utility in finding molecules with specific target properties.

Main Methods:

  • QSPR/QSAR models were built using multiple linear regression.
  • Inverse analysis within a linear Gaussian model framework estimated conditional distributions.
  • A canonical construction path algorithm was employed for exhaustive structure generation.

Main Results:

  • The method was validated using a dataset of acyclic hydrocarbons and their boiling points.
  • The QSPR model was developed using 600 hydrocarbon structures and their boiling points.
  • Exhaustive generation of structures with target boiling points (100, 150, 200°C) was achieved.

Conclusions:

  • The proposed inverse QSPR/QSAR method enables efficient and exhaustive generation of chemical structures with predefined properties.
  • This approach advances computer-aided molecular design by providing a systematic way to discover molecules with specific characteristics.