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Related Concept Videos

Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
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Factors Influencing Attraction III: Similarity

The similarity hypothesis suggests that individuals are more likely to form relationships with others who share similar attitudes, beliefs, values, and interests. This concept has been widely studied in social psychology, demonstrating that perceived similarity fosters interpersonal attraction. In an experiment supporting this hypothesis, participants were presented with fabricated information indicating that strangers held attitudes similar to their own. The results showed that participants...
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¹H NMR Chemical Shift Equivalence: Homotopic and Heterotopic Protons

Protons in identical electronic environments within a molecule are chemically equivalent and have the same chemical shift. The replacement test is a useful tool to identify chemical equivalence and predict NMR spectra. A substituent replaces each of the protons being examined and the resulting molecules are compared. If the same molecule is obtained, the protons are equivalent or homotopic. Replacement of any hydrogens in ethane by chlorine yields chloroethane because all six protons are...
Stereoisomers02:32

Stereoisomers

On the basis of mirror symmetry, stereoisomers of an organic molecule can be further classified into diastereomers and enantiomers. Diastereomers are stereoisomers that are not mirror images of each other. Substituted alkenes, such as the cis and trans isomers of 2-butene, are diastereomers, as these molecules exhibit different spatial orientations of their constituent atoms, are not mirror images of each other, and do not interconvert. Here, the interconversion is suppressed due to restricted...
Conjugate Addition (1,4-Addition) vs Direct Addition (1,2-Addition)01:27

Conjugate Addition (1,4-Addition) vs Direct Addition (1,2-Addition)

α,β-Unsaturated carbonyl compounds with two electrophilic sites, the carbonyl carbon, and the β carbon, are susceptible to nucleophilic attack via two modes: conjugate or 1,4-addition and direct or 1,2-addition.
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Model Approaches for Pharmacokinetic Data: Compartment Models

Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
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Updated: Jul 5, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

Dissimilarity-based approaches to compound acquisition.

Michael Lajiness1, Ian Watson

  • 1Eli Lilly and Company, 1 Corporate Center, Indianapolis, IN 46285, USA. LajinessMS@Lilly.com

Current Opinion in Chemical Biology
|April 22, 2008
PubMed
Summary
This summary is machine-generated.

This review details the evolution of computational methods for identifying and acquiring novel compounds in drug discovery. It highlights modern techniques for augmenting proprietary compound collections, crucial for developing new medicines.

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Area of Science:

  • Medicinal Chemistry
  • Computational Chemistry
  • Drug Discovery

Background:

  • Molecular diversity has been a long-standing concept in drug discovery.
  • Early applications focused on screening and collection augmentation but had limitations.
  • Computational procedures have significantly improved over time.

Purpose of the Study:

  • To review modern computational methods for identifying compounds for acquisition.
  • To discuss the process and software used in augmenting compound collections.
  • To underscore the continued relevance of collection augmentation in drug development.

Main Methods:

  • Review of historical and modern computational approaches.
  • Analysis of software tools for compound selection.
  • Focus on processes for identifying commercially viable compounds.

Main Results:

  • Evolution from crude early methods to sophisticated computational procedures.
  • Identification of key software and processes for compound acquisition.
  • Emphasis on the ongoing importance of these methods.

Conclusions:

  • Modern computational methods enhance the identification of valuable compounds for acquisition.
  • Augmenting compound collections remains a critical task in drug development.
  • The review provides insights into current practices and tools.