Open Access Open Access  Restricted Access Subscription or Fee Access

The Power of Chemical Modeling: Unveiling Molecular Behavior

Mamta Yadav

Abstract


Chemical modeling has developed as a strong tool for deciphering the complicated behavior of atoms at both the molecular and atomic scales. Researchers can simulate and comprehend the complex dynamics and properties of chemical systems by combining ideas from physics, chemistry, and computer science. The importance of chemical modeling in studying molecular behavior and demonstrates its transformative ability in a variety of scientific disciplines. Chemical modeling, using advanced computational approaches, provides insights into molecule structures, energetics,reactions, and characteristics that are sometimes difficult to get experimentally. This modeling approach allows researchers to get a greater knowledge of chemical events by properly predicting molecule behavior under varied situations. Molecule dynamics simulations, one of the most important approaches in chemical modeling, allow for the thorough investigation of molecule structures, conformational changes, and the kinetics of chemical reactions across time. These simulations provide significant information about molecular behavior, influencing the development of new pharmaceuticals, catalysts, and materials with improved characteristics. Another important part of chemical modeling is quantum mechanical computations, which investigate the electronic structure and characteristics of molecules. Researchers can reliably anticipate molecule energies, spectroscopic characteristics, and reaction rates using computer approaches based on quantum mechanics. This expertise promotes the discovery of new chemical reactions, the identification of reaction intermediates, and the comprehension of
reaction mechanisms.


Full Text:

PDF

References


Gross J, Sadowski G. Perturbed-chain SAFT: An equation of state based on a perturbation theory for chain molecules. Industrial & engineering chemistry research. 2001 Feb 21;40(4):1244-60.

Kodera N, Yamamoto D, Ishikawa R, Ando T. Video imaging of walking myosin V by high-speed atomic force microscopy. Nature. 2010 Nov 4;468(7320):72-6.

Sun M, Zaman MH. Modeling, signaling and cytoskeleton dynamics: integrated modeling‐ experimental frameworks in cell migration. Wiley Interdisciplinary Reviews: Systems Biology and Medicine. 2017 Jan;9(1):e1365.

Gillespie DT. Exact stochastic simulation of coupled chemical reactions. The journal of physical chemistry. 1977 Dec;81(25):2340-61.

Mousavi SZ, Shadman HR, Habibi M, Didandeh M, Nikzad A, Golmohammadi M, Maleki R, Suwaileh WA, Khataee A, Zargar M, Razmjou A. Elucidating the sorption mechanisms of environmental pollutants using molecular simulation. Industrial & Engineering Chemistry Research. 2023 Feb 20;62(8):3373-93.

Comellas-Aragonès M, Engelkamp H, Claessen VI, Sommerdijk NA, Rowan AE, Christianen PC, Maan JC, Verduin BJ, Cornelissen JJ, Nolte RJ. A virus-based single-enzyme nanoreactor. Nature nanotechnology. 2007 Oct;2(10):635-9.

Barkai E, Garini Y, Metzler R. Strange kinetics of single molecules in living cells. Physics today.2012 Aug 1;65(8):29-35.

Xu RZ, Cao JS, Feng G, Luo JY, Wu Y, Ni BJ, Fang F. Modeling molecular structure and behavior of microbial extracellular polymeric substances through interacting-particle reaction dynamics.

Chemical Engineering Journal Advances. 2021 Nov 15;8:100154.

Alexiadis A, Kassinos S. Molecular simulation of water in carbon nanotubes. Chemical reviews. 2008 Dec 10;108(12):5014-34.

Doering WE, Nie S. Single-molecule and single-nanoparticle SERS: examining the roles of surface active sites and chemical enhancement. The Journal of Physical Chemistry B. 2002 Jan

;106(2):311-7.


Refbacks

  • There are currently no refbacks.