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Related Concept Videos

Molecular Models02:00

Molecular Models

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.
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Resonance and Hybrid Structures02:16

Resonance and Hybrid Structures

According to the theory of resonance, if two or more Lewis structures with the same arrangement of atoms can be written for a molecule, ion, or radical, the actual distribution of electrons is an average of that shown by the various Lewis structures.
Resonance Structures and Resonance Hybrids
The Lewis structure of a nitrite anion (NO2−) may actually be drawn in two different ways, distinguished by the locations of the N–O and N=O bonds.
Molecular Shapes01:18

Molecular Shapes

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...
Toxic Reactions: Overview01:26

Toxic Reactions: Overview

When toxic substances penetrate the human body, they disseminate to various tissues, undergoing metabolic changes. This process yields reactive metabolites that may covalently bind with specific target molecules, resulting in toxicity.
Toxicity falls into two primary categories: local and systemic.
Local toxicity appears at the exposure site, such as protein denaturation caused by caustic substances.
In contrast, systemic toxicity requires the toxic agent's absorption and distribution,...
Mutagenicity and Carcinogenicity01:25

Mutagenicity and Carcinogenicity

Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...

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Related Experiment Video

Updated: May 18, 2026

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

Chemical structure representations and applications in computational toxicity.

Muthukumarasamy Karthikeyan1, Renu Vyas

  • 1National Chemical Laboratory, Digital Information Resource Centre & Centre of Excellence in Scientific Computing, Pune, India. m.karthikeyan@ncl.res.in

Methods in Molecular Biology (Clifton, N.J.)
|September 26, 2012
PubMed
Summary
This summary is machine-generated.

Efficiently storing and retrieving chemical structures is crucial for computational life sciences. This chapter explores traditional and modern chemical structure representations and their applications in managing chemical information and predicting bioactivity and toxicity.

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Area of Science:

  • Computational chemistry and cheminformatics
  • Life sciences and drug discovery
  • Materials science and chemical engineering

Background:

  • Accurate chemical structure representation is fundamental for computational problem-solving in life sciences.
  • Diverse molecular structures (isomers, conformers, scaffolds) with the same formula exhibit varied properties.
  • Advancements in mathematical models and informatics enable targeted molecule design for various industries.

Purpose of the Study:

  • To discuss traditional and state-of-the-art methods for chemical structure representation.
  • To highlight the applications of these representations in chemical information management.
  • To explore their use in predictive studies for bioactivity and toxicity.

Main Methods:

  • Review of established chemical structure representation techniques.
  • Analysis of contemporary informatics tools and mathematical models for molecular design.
  • Examination of data management strategies for chemical structures.

Main Results:

  • Understanding of diverse chemical structure representation methods, from historical to current.
  • Insight into the role of informatics in designing molecules with specific properties.
  • Demonstration of applications in chemical information management and predictive toxicology/pharmacology.

Conclusions:

  • Effective chemical structure representation is vital for computational applications in life sciences and beyond.
  • Modern informatics tools facilitate precise molecular design and property prediction.
  • The discussed representations are key to advancing chemical information management and predictive sciences.