"Computational chemistry is a branch of chemistry that uses computer simulation to assist in solving chemical problems."
The use of computer simulation to model and predict the behavior of chemical systems.
Molecular Mechanics: Computational method used in studying the physical properties of molecules and how they interact.
Quantum Mechanics: Study of atoms and molecules on the quantum level.
Density Functional Theory: Method for calculating the electronic structure of atoms, molecules, and materials.
Molecular Dynamics: Simulation of the motion and behavior of molecules over time.
Monte Carlo Methods: Statistical method for simulating probability distributions.
Ab Initio Calculations: Calculations based on fundamental principles and constants, without empirical data.
Molecular Docking: Process of predicting the binding of a small molecule to a target protein or nucleic acid.
Statistical Mechanics: Branch of physics that studies the behavior of large numbers of particles, including molecules.
Force Fields: Mathematical function used to describe the potential energy of a system.
Chemical Kinetics: Study of the rates of chemical reactions.
"It uses methods of theoretical chemistry, incorporated into computer programs, to calculate the structures and properties of molecules, groups of molecules, and solids."
"Examples of such properties are structure (i.e., the expected positions of the constituent atoms), absolute and relative (interaction) energies, electronic charge density distributions, dipoles and higher multipole moments, vibrational frequencies, reactivity, or other spectroscopic quantities."
"While computational results normally complement the information obtained by chemical experiments, it can in some cases predict hitherto unobserved chemical phenomena."
"It is widely used in the design of new drugs and materials."
"The computer time and other resources (such as memory and disk space) increase quickly with the size of the system being studied."
"Ab initio methods are based entirely on quantum mechanics and basic physical constants."
"Both ab initio and semi-empirical approaches involve approximations. These range from simplified forms of the first-principles equations that are easier or faster to solve, to approximations limiting the size of the system, to fundamental approximations to the underlying equations that are required to achieve any solution to them at all."
"For example, most ab initio calculations make the Born–Oppenheimer approximation, which greatly simplifies the underlying Schrödinger equation by assuming that the nuclei remain in place during the calculation."
"The goal of computational chemistry is to minimize this residual error while keeping the calculations tractable."
"In some cases, the details of electronic structure are less important than the long-time phase space behavior of molecules. This is the case in conformational studies of proteins and protein-ligand binding thermodynamics."
"Furthermore, cheminformatics uses even more empirical (and computationally cheaper) methods like machine learning based on physicochemical properties."
"One typical problem in cheminformatics is to predict the binding affinity of drug molecules to a given target."
"Other problems include predicting binding specificity, off-target effects, toxicity, and pharmacokinetic properties."
"Apart from relatively recent results concerning the hydrogen molecular ion, the quantum many-body problem cannot be solved analytically, much less in closed form."
"The computer time and other resources (such as memory and disk space) increase quickly with the size of the system being studied."
"Most ab initio calculations make the Born–Oppenheimer approximation."
"Examples of such properties are structure, absolute and relative (interaction) energies, electronic charge density distributions, dipoles and higher multipole moments, vibrational frequencies, reactivity, or other spectroscopic quantities."
"Both ab initio and semi-empirical approaches involve approximations, but ab initio methods are based entirely on quantum mechanics and basic physical constants."
"The purpose is to enable longer simulations of molecular dynamics, as these classical approximations are computationally less intensive than electronic calculations."