Literature DB >> 35976549

Chemical similarity of molecules with physiological response.

Izudin Redžepović1, Boris Furtula2.   

Abstract

Measuring the similarity among molecules is an important task in various chemically oriented problems. This elusive concept is hard to define and quantify. Moreover, the complexity of the problem is elevated by bifurcating the notion of molecular similarity to structural and chemical similarity. While the structural similarity of molecules is being extensively researched, the so-called chemical similarity is being mentioned scarcely. Here, we propose a way of converting the physico-chemical properties into molecular fingerprints. Then, using the apparatus of measuring the structural similarity, the chemical similarity can be assessed. The proof of a concept is demonstrated on a set of molecules that induce diverse physiological responses.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Binary fingerprints; Drugs; LogP; Melting point; pKa

Year:  2022        PMID: 35976549     DOI: 10.1007/s11030-022-10514-5

Source DB:  PubMed          Journal:  Mol Divers        ISSN: 1381-1991            Impact factor:   3.364


  28 in total

Review 1.  Molecular descriptors in chemoinformatics, computational combinatorial chemistry, and virtual screening.

Authors:  L Xue; J Bajorath
Journal:  Comb Chem High Throughput Screen       Date:  2000-10       Impact factor: 1.339

2.  Quantum-Chemical Descriptors in QSAR/QSPR Studies.

Authors:  Mati Karelson; Victor S. Lobanov; Alan R. Katritzky
Journal:  Chem Rev       Date:  1996-05-09       Impact factor: 60.622

Review 3.  Molecular similarity: a key technique in molecular informatics.

Authors:  Andreas Bender; Robert C Glen
Journal:  Org Biomol Chem       Date:  2004-10-14       Impact factor: 3.876

4.  On outliers and activity cliffs--why QSAR often disappoints.

Authors:  Gerald M Maggiora
Journal:  J Chem Inf Model       Date:  2006 Jul-Aug       Impact factor: 4.956

Review 5.  Molecular similarity and diversity in chemoinformatics: from theory to applications.

Authors:  Ana G Maldonado; J P Doucet; Michel Petitjean; Bo-Tao Fan
Journal:  Mol Divers       Date:  2006-02       Impact factor: 2.943

6.  Structure--activity landscape index: identifying and quantifying activity cliffs.

Authors:  Rajarshi Guha; John H Van Drie
Journal:  J Chem Inf Model       Date:  2008-02-28       Impact factor: 4.956

Review 7.  Activity cliffs: facts or artifacts?

Authors:  José L Medina-Franco
Journal:  Chem Biol Drug Des       Date:  2013-05       Impact factor: 2.817

8.  Similarity-driven discovery of zeolite materials for adsorption-based separations.

Authors:  Richard L Martin; Thomas F Willems; Li-Chiang Lin; Jihan Kim; Joseph A Swisher; Berend Smit; Maciej Haranczyk
Journal:  Chemphyschem       Date:  2012-08-22       Impact factor: 3.102

9.  Computer-Assisted Retrosynthesis Based on Molecular Similarity.

Authors:  Connor W Coley; Luke Rogers; William H Green; Klavs F Jensen
Journal:  ACS Cent Sci       Date:  2017-11-16       Impact factor: 14.553

10.  Using molecular similarity to highlight the challenges of routine immunoassay-based drug of abuse/toxicology screening in emergency medicine.

Authors:  Matthew D Krasowski; Anthony F Pizon; Mohamed G Siam; Spiros Giannoutsos; Manisha Iyer; Sean Ekins
Journal:  BMC Emerg Med       Date:  2009-04-28
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