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Related Concept Videos

Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

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.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Adrenergic Agonists: Chemistry and Structure-Activity Relationship01:16

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Adrenergic agonists' structure-activity relationship (SAR) determines their selectivity and efficacy. These agonists comprise a phenylethylamine moiety with an aromatic ring and an ethylamine side chain.
Aromatic ring substitutions: Substituting the aromatic ring with –OH groups at positions 3 and 4 yields catecholamines (e.g., epinephrine), which have a high affinity for adrenoceptors. Hydrogen bonding between –OH groups and receptors enhances adrenergic activity.
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The Physiology of Taste01:24

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The perception of a salty flavor is facilitated by sodium ions within the oral salivary fluid. Upon consumption of a salty substance, salt crystals disassemble, leading to the liberation of its constituents—Na+ and Cl- ions. These ions subsequently dissolve into the salivary fluid present in the oral cavity. The external environment of the gustatory cells experiences an elevation in Na+ concentration, thereby establishing a potent concentration gradient. This gradient propels the diffusion of...
Cholinergic Antagonists: Chemistry and Structure-Activity Relationship01:29

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Cholinergic antagonists bind to cholinergic receptors and limit the effects of acetylcholine and other cholinergic agonists. Based on the specific cholinergic receptor affinity, these antagonists are classified as muscarinic or nicotinic. Anticholinergics interrupt parasympathetic innervations while sympathetic innervations remain uninterrupted. Muscarinic antagonists are also called 'muscarinic antagonists', 'antimuscarinics', or 'parasympatholytics'. Nicotinic antagonists are called...
Direct-Acting Cholinergic Agonists: Chemistry and Structure-Activity Relationship01:22

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Cholinergic agonists or cholinomimetics mimic the action of acetylcholine to stimulate the parasympathetic nervous system. They are categorized into direct-acting and indirect-acting agents. The direct-acting cholinergic drugs induce the parasympathetic response by directly binding to the muscarinic or nicotine receptors. In comparison, the indirect-acting cholinergic drugs prevent acetylcholine hydrolysis, indirectly contributing to the extended parasympathetic response.
The direct-acting...
Indirect-Acting Cholinergic Agonists: Chemistry and Structure-Activity Relationship01:29

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Indirect-acting cholinergic agonists are agents that interact with the acetylcholinesterase enzyme in the synaptic cleft, preventing the breakdown of acetylcholine into choline and acetate. Consequently, the concentration of acetylcholine in the synaptic cleft increases. These agonists can be classified into reversible and irreversible inhibitors based on their duration of action.
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Determination of the Gas-phase Acidities of Oligopeptides
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Published on: June 24, 2013

Quantitative structure-activity relationship study of bitter peptides.

Hyun-Ock Kim1, Eunice C Y Li-Chan

  • 1The University of British Columbia Faculty of Land and Food Systems Food, Nutrition and Health Program, FNH Building, 2205 East Mall, Vancouver, British Columbia V6T 1Z4, Canada.

Journal of Agricultural and Food Chemistry
|December 21, 2006
PubMed
Summary

This study developed models to predict bitter peptide taste using physicochemical properties. Bulky hydrophobic amino acids at the C-terminus and bulky basic amino acids at the N-terminus significantly contribute to bitterness.

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Area of Science:

  • Food Science
  • Sensory Science
  • Computational Chemistry

Background:

  • Bitter peptides significantly impact food taste and quality.
  • Understanding the quantitative structure-activity relationships (QSAR) of bitterness is crucial for food product development.
  • Existing models may not fully capture the complexity of peptide bitterness.

Purpose of the Study:

  • To establish quantitative structure-activity relationships for bitter peptides.
  • To develop predictive models for peptide bitterness using physicochemical parameters and amino acid properties.
  • To identify key amino acid features contributing to bitterness.

Main Methods:

  • Compiled a database of 224 peptides (di- to tetradecapeptides) and five amino acids.
  • Employed partial least-squares regression analysis.
  • Utilized amino acid z-scores, hydrophobicity, residue number, and log mass as predictor variables.
  • Assessed bitterness using log (1/T), where T is the bitterness threshold.

Main Results:

  • Significant predictive models (p < 0.001) were achieved using physicochemical parameters alone for most peptide lengths.
  • Inclusion of N-terminal and C-terminal amino acid z-scores improved model accuracy for varying peptide lengths.
  • High correlation coefficients (0.75 for dipeptides, 0.90 for pentapeptides) were obtained for bitterness prediction.
  • Bulky hydrophobic C-terminal and bulky basic N-terminal amino acids strongly correlated with bitterness.

Conclusions:

  • Physicochemical properties and specific amino acid positions are key determinants of peptide bitterness.
  • The developed QSAR models provide a valuable tool for predicting and potentially controlling bitterness in peptide-based food ingredients.
  • Further research can refine these models for enhanced bitter taste modulation in food products.