Literature DB >> 12377008

Molecular quantum similarity-based QSARs for binding affinities of several steroid sets.

Xavier Gironés1, Ramon Carbó-Dorca.   

Abstract

The application of Molecular Quantum Similarity Measures (MQSM) to correlate biological activities for three different sets of steroids is reported. A general protocol for the generation of descriptors is detailed, thus covering molecular superposition, electronic density fitting, and quantum similarity calculation issues. Satisfactory Quantitative Structure-Activity Relationship (QSAR) models (r(2) in [0.69,0.94] and q(2) in [0.59,0.73]), comparable to previous studies, are obtained in all cases, where steroid binding affinities to different enzymes are studied. In this work, MQSM, properly scaled using Carbó Index, are related to activity using a Partial Least Squares routine.

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Year:  2002        PMID: 12377008     DOI: 10.1021/ci0202842

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  2 in total

Review 1.  Towards understanding aromatase inhibitory activity via QSAR modeling.

Authors:  Watshara Shoombuatong; Nalini Schaduangrat; Chanin Nantasenamat
Journal:  EXCLI J       Date:  2018-07-20       Impact factor: 4.068

2.  Analysis and Comparison of Vector Space and Metric Space Representations in QSAR Modeling.

Authors:  Samina Kausar; Andre O Falcao
Journal:  Molecules       Date:  2019-04-30       Impact factor: 4.411

  2 in total

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