Literature DB >> 25531967

Extending in silico mechanism-of-action analysis by annotating targets with pathways: application to cellular cytotoxicity readouts.

Sonia Liggi1, Georgios Drakakis, Alexios Koutsoukas, Isidro Cortes-Ciriano, Patricia Martínez-Alonso, Thérèse E Malliavin, Adrian Velazquez-Campoy, Suzanne C Brewerton, Michael J Bodkin, David A Evans, Robert C Glen, José Alberto Carrodeguas, Andreas Bender.   

Abstract

BACKGROUND: An in silico mechanism-of-action analysis protocol was developed, comprising molecule bioactivity profiling, annotation of predicted targets with pathways and calculation of enrichment factors to highlight targets and pathways more likely to be implicated in the studied phenotype.
RESULTS: The method was applied to a cytotoxicity phenotypic endpoint, with enriched targets/pathways found to be statistically significant when compared with 100 random datasets. Application on a smaller apoptotic set (10 molecules) did not allowed to obtain statistically relevant results, suggesting that the protocol requires modification such as analysis of the most frequently predicted targets/annotated pathways.
CONCLUSION: Pathway annotations improved the mechanism-of-action information gained by target prediction alone, allowing a better interpretation of the predictions and providing better mapping of targets onto pathways.

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Year:  2014        PMID: 25531967     DOI: 10.4155/fmc.14.137

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  6 in total

Review 1.  Systemic QSAR and phenotypic virtual screening: chasing butterflies in drug discovery.

Authors:  Maykel Cruz-Monteagudo; Stephan Schürer; Eduardo Tejera; Yunierkis Pérez-Castillo; José L Medina-Franco; Aminael Sánchez-Rodríguez; Fernanda Borges
Journal:  Drug Discov Today       Date:  2017-03-06       Impact factor: 7.851

2.  Global Mapping of Traditional Chinese Medicine into Bioactivity Space and Pathways Annotation Improves Mechanistic Understanding and Discovers Relationships between Therapeutic Action (Sub)classes.

Authors:  Siti Zuraidah Mohamad Zobir; Fazlin Mohd Fauzi; Sonia Liggi; Georgios Drakakis; Xianjun Fu; Tai-Ping Fan; Andreas Bender
Journal:  Evid Based Complement Alternat Med       Date:  2016-02-18       Impact factor: 2.629

3.  Extending in Silico Protein Target Prediction Models to Include Functional Effects.

Authors:  Lewis H Mervin; Avid M Afzal; Lars Brive; Ola Engkvist; Andreas Bender
Journal:  Front Pharmacol       Date:  2018-06-11       Impact factor: 5.810

Review 4.  Computational analyses of mechanism of action (MoA): data, methods and integration.

Authors:  Maria-Anna Trapotsi; Layla Hosseini-Gerami; Andreas Bender
Journal:  RSC Chem Biol       Date:  2021-12-22

5.  Early Pharmacological Profiling of Antiproliferative Compounds by Live Cell Imaging.

Authors:  Adrián Puerta; Aday González-Bakker; Guido Santos; José M Padrón
Journal:  Molecules       Date:  2022-08-17       Impact factor: 4.927

6.  Target prediction utilising negative bioactivity data covering large chemical space.

Authors:  Lewis H Mervin; Avid M Afzal; Georgios Drakakis; Richard Lewis; Ola Engkvist; Andreas Bender
Journal:  J Cheminform       Date:  2015-10-24       Impact factor: 5.514

  6 in total

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