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Related Concept Videos

Amino acids03:42

Amino acids

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Amino acids are the monomers that comprise proteins. Each amino acid has the same fundamental structure, which consists of a central carbon atom, or the alpha (α) carbon, bonded to an amino group (NH2), a carboxyl group (COOH), and to a hydrogen atom. Every amino acid also has another atom or group of atoms bonded to the central atom known as the R group. There are 20 common amino acids present in proteins, each with a different R group. Variation in the amino acid sequence is responsible for...
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Microorganisms rely on proteins as an essential carbon and energy source, particularly in environments with limited polysaccharides or lipids. However, proteins are too large to cross the plasma membrane unaided, necessitating enzymatic degradation. Microbes secrete extracellular proteases and peptidases that hydrolyze proteins into peptides, which can then be transported across the membrane. Once inside the cell, intracellular proteases degrade these peptides into free amino acids, which...
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Amino acid biosynthesis is essential for cell growth, protein synthesis, and metabolic regulation. Cells generate essential and non-essential amino acids from metabolic intermediates to sustain vital biological functions. These intermediates originate from key metabolic pathways: glycolysis, the tricarboxylic acid (TCA) cycle, and the pentose phosphate pathway. Important precursors include α-ketoglutarate, pyruvate, oxaloacetate, phosphoenolpyruvate, and erythrose-4-phosphate, which...
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Conformity is the change in a person’s behavior to go along with the group, even if that person does not agree with the group.
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Statistical Significance01:50

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Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
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Carboxylic acids are the strongest among organic acids, as they readily lose the hydroxyl proton to form a resonance-stabilized carboxylate ion. In comparison, the acid derivatives lack acidic hydrogens directly attached to a functional group. In these compounds, the acidic nature arises from their ability to lose α hydrogens, making them weakly acidic.
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Experimentally Derived and Computationally Optimized Backbone Conformational Statistics for Blocked Amino Acids.

Jeong-Mo Choi1, Rohit V Pappu1

  • 1Department of Biomedical Engineering and Center for Biological Systems Engineering , Washington University in St. Louis , One Brookings Drive , Campus Box 1097, St. Louis , Missouri 63130 , United States.

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Summary

This study introduces a novel method to create accurate amino acid conformational landscapes by combining structural data with spectroscopic measurements. This improves protein modeling and molecular mechanics force field assessments.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Structural Biology

Background:

  • Protein conformational equilibria are crucial for understanding protein function and for validating molecular mechanics force fields.
  • Existing protein coil libraries, derived from high-resolution structures, contain inherent biases requiring complex correction methods.
  • Accurate amino acid specific backbone dihedral angle distributions are essential for data-driven protein modeling.

Purpose of the Study:

  • To develop experimentally derived and computationally optimized coil-library landscapes for all 20 naturally occurring amino acids.
  • To combine high-resolution structural data with low-resolution spectroscopic data for unbiased conformational analysis.
  • To establish a robust method for assessing intrinsic amino acid preferences and molecular mechanics force field accuracy.

Main Methods:

  • Integration of high-resolution biased protein structural data with unbiased low-resolution spectroscopic measurements of blocked amino acids.
  • Development and application of a numerical method to extract conformational basins, including envelopes, centers, and statistical weights.
  • Optimization of conformational basin weights to match quantitative spectroscopic inferences from blocked amino acids.

Main Results:

  • Generation of experimentally validated and computationally optimized coil-library landscapes for each of the 20 natural amino acids.
  • Successful extraction and quantification of conformational basins, providing detailed insights into amino acid preferences.
  • Creation of optimized distributions serving as benchmarks for evaluating intrinsic preferences and force field performance.

Conclusions:

  • The combined approach provides a more accurate representation of amino acid conformational distributions than traditional methods.
  • The optimized coil-library landscapes offer improved accuracy for protein modeling and force field evaluation.
  • This work establishes a quantitative framework for assessing conformational preferences and advancing molecular mechanics simulations.