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Journal ArticleDOI

Molecular identification number for substructure searches

Frank R. Burden
- 01 Aug 1989 - 
- Vol. 29, Iss: 3, pp 225-227
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TLDR
A method for producing molecular identification numbers for hydrogen-depleted organic structures from the eigenvalues of a connectivity matrix is presented.
Abstract
A method for producing molecular identification numbers for hydrogen-depleted organic structures from the eigenvalues of a connectivity matrix is presented. Over 20000 structures have been successfully tested, and the method can also be used produce a unique numbering for the atoms in a structure and to identify which atoms belong to each of the substructures of a disconnected main structure

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Journal ArticleDOI

Generation of a set of simple, interpretable ADMET rules of thumb.

TL;DR: The need to focus on a lower molecular weight and logP area of physicochemical property space to obtain improved ADMET parameters is re-emphasized.
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Bayesian regularization of neural networks.

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Approaches to Measure Chemical Similarity ± a Review

TL;DR: The review provides analysis of potential pitfalls of descriptor based similarity analysis – loss of information in the representations of molecular structures – the relevance of a particular representation and chosen similarity measure to the activity.
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A widely applicable set of descriptors.

TL;DR: Three sets of molecular descriptors computable from connection table information are defined, based on atomic contributions to van der Waals surface area, log P (octanol/water), molar refractivity, and partial charge, which are applied to the construction of QSAR/QSPR models for boiling point, vapor pressure, free energy of solvation in water.
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The importance of the domain of applicability in QSAR modeling

TL;DR: Details of the development and application of a method to compute the domain of applicability within model descriptor space and structural space as defined by daylight fingerprints are provided.
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