Literature DB >> 12767129

The signature molecular descriptor. 1. Using extended valence sequences in QSAR and QSPR studies.

Jean-Loup Faulon1, Donald P Visco, Ramdas S Pophale.   

Abstract

We present a new descriptor named signature based on extended valence sequence. The signature of an atom is a canonical representation of the atom's environment up to a predefined height h. The signature of a molecule is a vector of occurrence numbers of atomic signatures. Two QSAR and QSPR models based on signature are compared with models obtained using popular molecular 2D descriptors taken from a commercially available software (Molconn-Z). One set contains the inhibition concentration at 50% for 121 HIV-1 protease inhibitors, while the second set contains 12865 octanol/water partitioning coefficients (Log P). For both data sets, the models created by signature performed comparable to those from the commercially available descriptors in both correlating the data and in predicting test set values not used in the parametrization. While probing signature's QSAR and QSPR performances, we demonstrates that for any given molecule of diameter D, there is a molecular signature of height h </= D+1, from which any 2D descriptor can be computed. As a consequence of this finding any QSAR or QSPR involving 2D descriptors can be replaced with a relationship involving occurrence number of atomic signatures.

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Year:  2003        PMID: 12767129     DOI: 10.1021/ci020345w

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


  32 in total

1.  Substructural fragments: an universal language to encode reactions, molecular and supramolecular structures.

Authors:  A Varnek; D Fourches; F Hoonakker; V P Solov'ev
Journal:  J Comput Aided Mol Des       Date:  2005-11-16       Impact factor: 3.686

2.  Reverse engineering chemical structures from molecular descriptors: how many solutions?

Authors:  Jean-Loup Faulon; W Michael Brown; Shawn Martin
Journal:  J Comput Aided Mol Des       Date:  2005-11-03       Impact factor: 3.686

3.  Prediction of beta-strand packing interactions using the signature product.

Authors:  W Michael Brown; Shawn Martin; Joseph P Chabarek; Charlie Strauss; Jean-Loup Faulon
Journal:  J Mol Model       Date:  2005-12-07       Impact factor: 1.810

Review 4.  Chemical predictive modelling to improve compound quality.

Authors:  John G Cumming; Andrew M Davis; Sorel Muresan; Markus Haeberlein; Hongming Chen
Journal:  Nat Rev Drug Discov       Date:  2013-12       Impact factor: 84.694

5.  Computational strategies for the automated design of RNA nanoscale structures from building blocks using NanoTiler.

Authors:  Eckart Bindewald; Calvin Grunewald; Brett Boyle; Mary O'Connor; Bruce A Shapiro
Journal:  J Mol Graph Model       Date:  2008-05-24       Impact factor: 2.518

Review 6.  Predicting drug metabolism: experiment and/or computation?

Authors:  Johannes Kirchmair; Andreas H Göller; Dieter Lang; Jens Kunze; Bernard Testa; Ian D Wilson; Robert C Glen; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2015-04-24       Impact factor: 84.694

7.  Structure-reactivity modeling using mixture-based representation of chemical reactions.

Authors:  Pavel Polishchuk; Timur Madzhidov; Timur Gimadiev; Andrey Bodrov; Ramil Nugmanov; Alexandre Varnek
Journal:  J Comput Aided Mol Des       Date:  2017-07-27       Impact factor: 3.686

8.  IADE: a system for intelligent automatic design of bioisosteric analogs.

Authors:  Peter Ertl; Richard Lewis
Journal:  J Comput Aided Mol Des       Date:  2012-09-28       Impact factor: 3.686

9.  GSA: a GPU-accelerated structure similarity algorithm and its application in progressive virtual screening.

Authors:  Xin Yan; Qiong Gu; Feng Lu; Jiabo Li; Jun Xu
Journal:  Mol Divers       Date:  2012-10-19       Impact factor: 2.943

10.  A constructive approach for discovering new drug leads: Using a kernel methodology for the inverse-QSAR problem.

Authors:  William Wl Wong; Forbes J Burkowski
Journal:  J Cheminform       Date:  2009-04-28       Impact factor: 5.514

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