Related Experiment Video
Updated: Jan 14, 2026
05:57
Author Spotlight: In Silico Creation and Impact of Carbonylated Amino Acids on Protein Structure and Function
Published on: April 26, 2024
829
A Review of Global Optimization Methods for Molecular Structures: Algorithms, Applications and Perspectives.
Jorge Alberto Sanchez Alvarez1, Patrizia Calaminici1
1Chemistry Department, CINVESTAV, Mexico City, Mexico.
Journal of Computational Chemistry
|October 20, 2025
Summary
Global optimization techniques are crucial for predicting chemical structures like conformations and crystal polymorphs. This review details stochastic and deterministic methods, their applications, and future directions in computational chemistry.
Area of Science:
- Computational Chemistry
- Chemical Physics
Background:
- Predicting chemical structures is vital for understanding molecular behavior.
- Global optimization methods offer a systematic approach to explore potential structures.
Purpose of the Study:
- To provide a comprehensive review of global optimization techniques for chemical structure prediction.
- To discuss the historical development, current methodologies, and future trends in this field.
Main Methods:
- Categorization of global optimization methods into stochastic and deterministic approaches.
- Overview of algorithmic frameworks, software tools, and applications.
- Examination of techniques for molecular conformations, crystal polymorphs, and reaction pathways.
Main Results:
- Detailed explanation of the two-step process: global search followed by local refinement.
- Discussion of representative applications including conformer sampling and surface adsorption.
- Historical perspective on the evolution of global optimization algorithms.
Conclusions:
- Integration of quantum methods and development of hybrid algorithms are key future directions.
- Quantum computing holds potential for tackling complex chemical prediction problems.
- Continued advancement in global optimization is essential for progress in chemical sciences.
Related Concept Videos
02:27Predicting Molecular Geometry
44.9K
VSEPR Theory for Determination of Electron Pair Geometries
44.9K
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
284
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
284
02:36Molecular Geometry and Dipole Moments
18.1K
The VSEPR theory can be used to determine the electron pair geometries and molecular structures as follows:
18.1K
02:00Molecular Models
43.5K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
43.5K
01:18Molecular Shapes
61.3K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
Two regions of electron density in a diatomic...
61.3K
02:37VSEPR Theory
14.0K
Valence shell electron-pair repulsion theory (VSEPR theory) enables us to predict the molecular structure around a central atom from an examination of the number of bonds and lone electron pairs in its Lewis structure. The VSEPR model assumes that electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between these electron pairs by maximizing the distance between them. The electrons in the valence shell of a central atom form either bonding...
14.0K