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Related Concept Videos

¹H NMR Chemical Shift Equivalence: Homotopic and Heterotopic Protons01:03

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...
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Structural Isomerism02:34

Structural Isomerism

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Noncontiguous atom matching structural similarity function.

Ana L Teixeira1, Andre O Falcao

  • 1LaSIGE, Faculty of Sciences, University of Lisbon , Campo Grande 1749-016 Lisbon, Portugal.

Journal of Chemical Information and Modeling
|September 19, 2013
PubMed
Summary
This summary is machine-generated.

A new molecular similarity method, noncontiguous atom matching structural similarity (NAMS), offers improved accuracy over fingerprint-based approaches. NAMS enhances molecular analysis by explicitly showing atom similarities and performs well on diverse datasets.

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Area of Science:

  • Cheminformatics
  • Computational Chemistry
  • Bioinformatics

Background:

  • Molecular similarity is crucial for drug discovery and chemical data analysis.
  • Existing methods often lack reliability and consistency across diverse molecular structures.
  • There is a need for advanced similarity measures that capture subtle structural nuances.

Purpose of the Study:

  • To introduce a novel molecular similarity method based on atom alignment.
  • To address limitations of current similarity measures, particularly for complex molecular structures.
  • To provide a more intuitive and reliable tool for molecular similarity assessment.

Main Methods:

  • Developed a new similarity method, noncontiguous atom matching structural similarity (NAMS), utilizing atom alignment.
  • Incorporated features like chirality and double bond stereoisomerism into the comparison.
  • Employed an iterative directed graph similarity procedure and optimal atom alignment via a pairwise matching algorithm.

Main Results:

  • NAMS demonstrated superior performance in distinguishing similar hydrocarbons compared to fingerprint-based methods.
  • The method validated the similarity principle in steroids, correlating high similarity (>80%) with smaller binding affinity differences.
  • NAMS significantly improved the recovery of active compounds for monoamine oxidase inhibition prediction.

Conclusions:

  • NAMS offers a more intuitive and reliable approach to molecular similarity analysis.
  • The method excels in identifying subtle structural differences and similarities crucial for property prediction.
  • NAMS is freely available as a web tool and open-source Python code.