Literature DB >> 12767130

The signature molecular descriptor. 2. Enumerating molecules from their extended valence sequences.

Jean-Loup Faulon1, Carla J Churchwell, Donald P Visco.   

Abstract

We present a new algorithm that enumerates molecular structures matching a predefined extended valence sequence or signature. The algorithm can construct molecular structures composed of about 50 non-hydrogen atoms in CPU seconds time scale. The algorithm is run to produce all molecular structures matching the binding affinities (IC(50)) of some HIV-1 protease inhibitors. The algorithm is also used to compute the degeneracy, or the number of molecular structures, corresponding to a given signature. Signature degeneracy is systematically studied for varying signature heights on four molecular series, alkanes, alcohols, fullerene-type structures, and peptides. Signature degeneracy is compared with similar results obtained with popular topological indices (TIs). As a general rule, we find that signature degeneracy decreases as the signature height increases. We also find that alkanes, alcohols, and fullerene-type structures comprising n non-hydrogen atoms are uniquely characterized by signatures of height n/4, while peptides up to 4000 amino acids can be singled out with signatures of heights as small as 2 and 3.

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Year:  2003        PMID: 12767130     DOI: 10.1021/ci020346o

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


  17 in total

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

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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.  Can topological indices transmit information on properties but not on structures?

Authors:  Alexandru T Balaban
Journal:  J Comput Aided Mol Des       Date:  2005-11-23       Impact factor: 3.686

4.  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

5.  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

6.  Advances in Predictions of Oral Bioavailability of Candidate Drugs in Man with New Machine Learning Methodology.

Authors:  Urban Fagerholm; Sven Hellberg; Ola Spjuth
Journal:  Molecules       Date:  2021-04-28       Impact factor: 4.411

7.  Enumerating tree-like chemical graphs with given upper and lower bounds on path frequencies.

Authors:  Masaaki Shimizu; Hiroshi Nagamochi; Tatsuya Akutsu
Journal:  BMC Bioinformatics       Date:  2011-12-14       Impact factor: 3.169

Review 8.  Comparison and enumeration of chemical graphs.

Authors:  Tatsuya Akutsu; Hiroshi Nagamochi
Journal:  Comput Struct Biotechnol J       Date:  2013-02-26       Impact factor: 7.271

9.  Efficient enumeration of monocyclic chemical graphs with given path frequencies.

Authors:  Masaki Suzuki; Hiroshi Nagamochi; Tatsuya Akutsu
Journal:  J Cheminform       Date:  2014-05-30       Impact factor: 5.514

10.  Bioalerts: a python library for the derivation of structural alerts from bioactivity and toxicity data sets.

Authors:  Isidro Cortes-Ciriano
Journal:  J Cheminform       Date:  2016-03-04       Impact factor: 5.514

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