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Basicity of Heterocyclic Aromatic Amines01:25

Basicity of Heterocyclic Aromatic Amines

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Heterocyclic amines, where the N atom is a part of an alicyclic system, are similar in basicity to alkylamines. Interestingly, the heterocyclic amine having a nitrogen atom as part of an aromatic ring has much less basicity than its corresponding alicyclic counterpart. For this reason, as presented in Figure 1, piperidine (pKb = 2.8) is significantly more basic than pyridine (pKb = 8.8).
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Factors Affecting Protein-Drug Binding: Drug Interactions01:23

Factors Affecting Protein-Drug Binding: Drug Interactions

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Drug interactions are a critical aspect of pharmacology and can occur when two or more drugs compete for the same binding site. This competition can result in one drug displacing another, altering the effect of the displaced drug. Drug interactions are complex processes that rely heavily on how much of the displacer drug is present and how strongly it can bind to the same sites as the displaced drug.
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Ligand Binding Sites02:40

Ligand Binding Sites

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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
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Basicity of Aliphatic Amines01:21

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Amines can behave as Brønsted–Lowry bases by accepting a proton from the acid to form corresponding conjugate acids. Due to a lone pair of nonbonding electrons, aliphatic amines can also act as Lewis bases by forming a covalent bond with an electrophile.
To measure the basicity of amines, two conventions are generally used. The first defines Kb as the basicity constant for the deprotonation reaction of water by the amine, as presented in Figure 1. Conventionally, lower Kb indicates higher...
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Basicity of Aromatic Amines01:18

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The basicity of aromatic amines is much weaker than that of aliphatic amines due to the involvement of the lone pair of electrons over the N atom in resonance with the aryl rings. Generally, the electron-donating ability of any substituents on the aryl ring of aromatic amines increases the basicity of the amine by increasing electron density, and hence the availability of lone pair on the nitrogen. On the other hand, electron-withdrawing functional groups on the aryl ring of amines decrease the...
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Ionic Strength: Effects on Chemical Equilibria01:19

Ionic Strength: Effects on Chemical Equilibria

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The addition of an inert ionic compound increases the solubility of a sparingly soluble salt. For example, adding potassium nitrate to a saturated solution of calcium sulfate significantly enhances the solubility of calcium sulfate. Le Châtelier's principle cannot predict this shift in the equilibrium. Instead, this could be explained in terms of changes in the effective concentration of the ions in solution in the presence of added inert salt.
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Preparation of Functional Silica Using a Bioinspired Method
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Buffer Influence on the Amino Acid Silica Interaction.

Saientan Bag1, Stefan Rauwolf2, Mikhail Suyetin1

  • 1Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.

Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
|August 15, 2020
PubMed
Summary

Buffer type significantly impacts protein-surface interactions, crucial for biotechnology. Arginine and lysine show strong silica binding, with buffer pH altering affinity differently for MOPS and TRIS buffers.

Keywords:
amino acidsbufferchromatographymultiscale modelling of adsorptionsilica

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Area of Science:

  • Biochemistry
  • Materials Science
  • Biotechnology

Background:

  • Protein-surface interactions are vital in life sciences and biotechnology.
  • Buffer systems are commonly used but their influence on these interactions is understudied.

Purpose of the Study:

  • To systematically investigate the impact of buffer type and pH on protein-surface interactions.
  • To understand the binding mechanisms of amino acids to silica surfaces.

Main Methods:

  • Chromatographic experiments to measure amino acid-silica interactions.
  • Free energy calculations to validate binding affinities.
  • Multiscale modeling combining molecular dynamics and Langmuir adsorption models.

Main Results:

  • Arginine (R) and lysine (K) exhibit the strongest binding to silica among 20 proteinogenic amino acids.
  • The binding affinity of R/K to silica shows opposite trends with pH in MOPS and TRIS buffers.
  • Experimental findings are supported by theoretical free energy calculations.

Conclusions:

  • Buffer composition and pH critically influence protein-surface interactions.
  • Understanding these effects allows for optimization of buffer conditions in biosensors, drug delivery, and bioseparation.
  • Multiscale modeling provides a predictive framework for optimizing experimental conditions.