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August 19, 1999Journal of Chemical Information and Computer Sciences1,534 citations

Prediction of Physicochemical Parameters by Atomic Contributions

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SWScott A. WildmanGCGordon M. Crippen

Key Points

  • The research aims to develop an atom type classification system to improve the prediction of log P and molar refractivity.
  • Developed an atom type classification system with contributions determined from a training set of 9920 molecules.
  • Analyzed a separate set of 3412 molecules for contributions to molar refractivity (MR).
  • Utilized regression fitting to evaluate predictive capabilities with reported r2 and standard deviations.
  • Atomic contributions for log P showed an r2 of 0.918 and σ of 0.677, indicating strong predictive ability.
  • Molar refractivity contributions achieved an r2 of 0.997 and σ of 1.43, suggesting higher accuracy in predictions.

Abstract

We present a new atom type classification system for use in atom-based calculation of partition coefficient (log P) and molar refractivity (MR) designed in part to address published concerns of previous atomic methods. The 68 atomic contributions to log P have been determined by fitting an extensive training set of 9920 molecules, with r2 = 0.918 and σ = 0.677. A separate set of 3412 molecules was used for the determination of contributions to MR with r2 = 0.997 and σ = 1.43. Both calculations are shown to have high predictive ability.

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Cite This Study

Wildman et al. (1999) studied this question.

synapsesocial.com/papers/69d759a95f9a1dad5348fdd9https://doi.org/10.1021/ci990307l
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