Multidimensional Drug Design: Simultaneous Analysis of Binding and Relative Efficacy Profiles of N6-substituted-4'-thioadenosines A(3) Adenosine Receptor Agonists

• Type: Article in International Scientific Journal
• Date: 2010

Authors

Maykel Cruz Monteagudo (Author) Other; Natalia N D S Cordeiro (Author) FCUP; Marta Teijeira (Author) Other; Maykel P Gonzalez (Author) Other; Fernanda Borges (Author) FCUP

Journal

Title: Chemical Biology and Drug Design

Vol. 75

Pages: 607-618

ISSN: 1747-0277

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 15 Citations

Scopus - 15 Citations

Scientific classification

FOS: Natural sciences > Chemical sciences

CORDIS: Physical sciences > Chemistry > Applied chemistry > Pharmaceutical chemistry

Other information

Authenticus ID: P-003-5WW

DOI: 10.1111/j.1747-0285.2010.00971.x

Abstract (EN): Desirability theory (DT) is a well-known multi-criteria decision-making approach. In this work, DT is employed as a prediction model (PM) interpretation tool to extract useful information on the desired trade-offs between binding and relative efficacy of N6-substituted-4'-thioadenosines A(3) adenosine receptor (A(3)AR) agonists. At the same time, it was shown the usefulness of a parallel but independent approach providing a feedback on the reliability of the combination of properties predicted as a unique desirability value. The appliance of belief theory allowed the quantification of the reliability of the predicted desirability of a compound according to two inverse and independent but complementary prediction approaches. This information is proven to be useful as a ranking criterion in a ligand-based virtual screening study. The development of a linear PM of the A(3)AR agonists overall desirability allows finding significant clues based on simple molecular descriptors. The model suggests a relevant role of the type of substituent on the N6 position of the adenine ring that in general contribute to reduce the flexibility and hydrophobicity of the lead compound. The mapping of the desirability function derived of the PM offers specific information such as the shape and optimal size of the N6 substituent. The model herein developed allows a simultaneous analysis of both binding and relative efficacy profiles of A(3)AR agonists. The information retrieved guides the theoretical design and assembling of a combinatorial library suitable for filtering new N6-substituted-4'-thioadenosines A(3)AR agonist candidates with simultaneously improved binding and relative efficacy profiles. The utility of the desirability/belief-based proposed virtual screening strategy was deduced from our training set. Based on the overall results, it is possible to assert that the combined use of desirability and belief theories in computational medicinal chemistry research can aid the discovery of A(3)AR agonist candidates with favorable balance between binding and relative efficacy profiles.

Language: English

Type (Professor's evaluation): Scientific