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Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
IR and UV–Vis Spectroscopy of Carboxylic Acids01:28

IR and UV–Vis Spectroscopy of Carboxylic Acids

In IR spectroscopy of carboxylic acids, the C=O bond shows a characteristic band between 1710 and 1760 cm⁻¹, and the O–H bond exhibits a broad band between 2500 and 3300 cm⁻¹.
However, the stretching absorptions for the C=O bond vary depending on the structure of carboxylic acids. The C=O bond of the free carboxylic acids shows a higher stretching frequency, 1760 cm−1, while H-bonded carboxylic acids (dimers) exhibit stretching absorptions at a lower frequency, 1710 cm−1. The C=O bond of the...

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Related Experiment Video

Updated: May 29, 2026

Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
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Deep Learning of Protein Structure and Physicochemical Properties from Two-Dimensional Infrared Spectra.

Zhipeng Li1, Lvshuai Zhu1, Zhen Wang1

  • 1Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology, School of Artificial Intelligence, Anhui University, Hefei, Anhui 230601, China.

The Journal of Physical Chemistry Letters
|May 28, 2026
PubMed
Summary

This study introduces a computational framework to infer protein structure and properties from 2D infrared (2DIR) spectra. The method uses machine learning to link vibrational signatures to protein conformation and characteristics.

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Area of Science:

  • Computational biophysics
  • Spectroscopy
  • Structural biology

Background:

  • Protein structure and properties are crucial for function but challenging to determine, especially for dynamic systems.
  • Two-dimensional infrared (2DIR) spectroscopy offers sensitive vibrational data, but linking it to structural information is complex.
  • Quantitative structure-property relationships from spectral data are needed.

Purpose of the Study:

  • To develop a data-driven computational framework for inferring protein structure and physicochemical properties from 2DIR spectra.
  • To establish quantitative "Spectrum-Structure-Property" relationships.
  • To enable structure and property prediction from vibrational spectroscopy.

Main Methods:

  • Generated a large dataset of 631,651 computed 2DIR spectra from static and dynamic protein structures.
  • Employed a data-driven approach to learn relationships between spectral features and protein characteristics.
  • Utilized multiscale spectral features for predicting Cα distance maps and physicochemical descriptors.

Main Results:

  • Successfully inferred protein structural representations (Cα distance maps) and physicochemical properties (secondary structure, radius of gyration, H-bond counts, buried residue fraction).
  • Demonstrated consistent performance across diverse protein systems and dynamic trajectories.
  • Provided a computational proof-of-concept for quantitative spectral-structure-property connections.

Conclusions:

  • A computational framework can infer protein structural and physicochemical information from simulated 2DIR spectra.
  • This approach offers a novel way to connect vibrational spectroscopy data with protein characteristics.
  • Further validation with experimental 2DIR data is necessary for practical application.