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Related Concept Videos

End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

169
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
169
Acid-Base Balance01:25

Acid-Base Balance

184
The human body maintains a narrow pH range regulated through acid-base balance. This balance is crucial as changes in the hydrogen ion concentration can disrupt cell membrane stability, alter protein structures, and change enzyme activities. The normal pH of arterial blood is 7.4, venous blood and interstitial fluid is 7.35, and intracellular fluid averages 7.0.
When the pH of arterial blood rises above 7.45, it results in a condition called alkalosis. Conversely, a drop below 7.35 leads to...
184
Acid–Base Titration: Overview01:26

Acid–Base Titration: Overview

7.5K
An acid-base titration is a technique used to determine the concentration of an unknown acid or base, using a titrant of known concentration–either a base for acid titration or an acid for base titration. The process involves gradually adding the titrant, leading to a predictable change in the pH of the solution. This change is plotted on a titration curve, showing how a solution's pH varies with the amount of titrant added. Such curves are instrumental in monitoring the...
7.5K
Titration of a Weak Acid with a Strong Base01:30

Titration of a Weak Acid with a Strong Base

1.9K
In titrating a weak acid with a strong base, different calculation methods are applied at various stages. Initially, the pH of a weak acid like acetic acid is calculated using its dissociation constant (Ka) and an ICE table. Upon addition of a strong base such as sodium hydroxide, a buffer forms, and its pH is determined using the Henderson-Hasselbalch equation. As more base is added and the titration reaches the halfway point, the pH becomes equal to the pKa of the acid, indicating equal...
1.9K
Titration of a Weak Acid with a Weak Base01:08

Titration of a Weak Acid with a Weak Base

2.4K
Weak acids and bases do not undergo dissociation completely, and titrations between these two are rarely studied. When such studies are performed, say, for the titration of a weak acid with a weak base, the titration curve plots the change in pH as a function of the volume of base added. Take the titration of acetic acid with ammonia, for instance. During the titration, these two species form ammonium acetate and water, but the pH change is slow and gradual.
As a result, there is no simple...
2.4K
Titration of a Weak Base with a Strong Acid01:20

Titration of a Weak Base with a Strong Acid

4.4K
The titration curve of a weak base like ammonia with a strong acid like hydrochloric acid is the mirror image of the titration curve of a weak acid with a strong base.
Using the ICE table and substituting the Kb value, we calculate the initial pH of 50 mL of 0.1 M ammonia to be 11.11. Addition of 25 mL of 0.1 M hydrochloric acid to this solution of ammonia results in a buffer with an equal concentration of ammonia and ammonium ions. The pH of this buffer can be calculated by substituting these...
4.4K

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Related Experiment Video

Updated: May 8, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

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[AcidBasePred: a protein acid-base tolerance prediction platform based on deep learning].

Rong Huang1,2, Hejian Zhang1,2, Min Wu1,2

  • 1School of Biological Engineering, Tianjin University of Science & Technology, Tianjin 300457, China.

Sheng Wu Gong Cheng Xue Bao = Chinese Journal of Biotechnology
|December 26, 2024
PubMed
Summary

This study developed a deep learning model to predict enzyme acid-base tolerance, achieving 94.8% accuracy. The tool aids in screening and optimizing industrial enzymes for extreme pH environments.

Keywords:
acid-base tolerancedeep learningenzymeprediction platformprotein sequence

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction
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Area of Science:

  • Biochemistry and Molecular Biology
  • Bioinformatics and Computational Biology

Context:

  • Enzyme structure and activity are pH-dependent.
  • Understanding enzyme adaptation to extreme pH is crucial for industrial applications.
  • Secreted microbial proteins were analyzed for high-pH (>9) and low-pH (<5) tolerance.

Purpose:

  • To develop a computational model for predicting protein acid-base tolerance.
  • To identify adaptation mechanisms of enzymes to extreme pH environments.
  • To create a user-friendly web tool for enzyme prediction.

Summary:

  • A deep learning model was constructed using the ESM-2 protein language model to encode protein sequences.
  • The model achieved high accuracy (94.8% overall, 91.8% precision, 93.4% recall) in predicting acid-base tolerance.
  • A website was developed for predicting enzyme acid-base tolerance from amino acid sequences.

Impact:

  • Accelerates enzyme application in biotechnology, pharmaceuticals, and chemicals.
  • Provides a powerful tool for rapid screening and optimization of industrial enzymes.
  • Facilitates the discovery of novel enzymes for extreme pH conditions.