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Analysis of institutional authors

Otero-Carrasco, BAuthorUgarte Carro, EstherAuthorPrieto-Santamaria, LAuthorDiaz Uzquiano, MarinaAuthorCaraca-Valente Hernandez, Juan PedroAuthorRodriguez-Gonzalez, ACorresponding Author

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April 11, 2024
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Identifying patterns to uncover the importance of biological pathways on known drug repurposing scenarios

Publicated to:Bmc Genomics. 25 (1): 43- - 2024-01-09 25(1), DOI: 10.1186/s12864-023-09913-1

Authors: Otero-Carrasco, B; Carro, EU; Prieto-Santamaría, L; Uzquiano, MD; Hernández, JPCV; Rodríguez-González, A

Affiliations

Univ Politecn Madrid, Ctr Tecnol Biomed - Author
Univ Politecn Madrid, ETS Ingn Informat - Author

Abstract

Background Drug repurposing plays a significant role in providing effective treatments for certain diseases faster and more cost-effectively. Successful repurposing cases are mostly supported by a classical paradigm that stems from de novo drug development. This paradigm is based on the one-drug-one-target-one-disease idea. It consists of designing drugs specifically for a single disease and its drug's gene target. In this article, we investigated the use of biological pathways as potential elements to achieve effective drug repurposing.Methods Considering a total of 4214 successful cases of drug repurposing, we identified cases in which biological pathways serve as the underlying basis for successful repurposing, referred to as DREBIOP. Once the repurposing cases based on pathways were identified, we studied their inherent patterns by considering the different biological elements associated with this dataset, as well as the pathways involved in these cases. Furthermore, we obtained gene-disease association values to demonstrate the diminished significance of the drug's gene target in these repurposing cases. To achieve this, we compared the values obtained for the DREBIOP set with the overall association values found in DISNET, as well as with the drug's target gene (DREGE) based repurposing cases using the Mann-Whitney U Test.Results A collection of drug repurposing cases, known as DREBIOP, was identified as a result. DREBIOP cases exhibit distinct characteristics compared with DREGE cases. Notably, DREBIOP cases are associated with a higher number of biological pathways, with Vitamin D Metabolism and ACE inhibitors being the most prominent pathways. Additionally, it was observed that the association values of GDAs in DREBIOP cases were significantly lower than those in DREGE cases (p-value < 0.05).Conclusions Biological pathways assume a pivotal role in drug repurposing cases. This investigation successfully revealed patterns that distinguish drug repurposing instances associated with biological pathways. These identified patterns can be applied to any known repurposing case, enabling the detection of pathway-based repurposing scenarios or the classical paradigm.

Keywords

Computational biologyData-driven methodologyDiscoveryDisnet knowledgeDrug delivery systemsDrug repositioningDrug repurposingLipid metabolismPathway-basedPharmacologyStatistics, nonparametricSystems

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Bmc Genomics due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Biotechnology.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-07-08:

  • Google Scholar: 2
  • WoS: 1
  • Scopus: 4

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-08:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 13.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 14 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 21.7.
  • The number of mentions on the social network X (formerly Twitter): 7 (Altmetric).
  • The number of mentions in news outlets: 2 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (OTERO CARRASCO, BELEN) and Last Author (RODRIGUEZ GONZALEZ, ALEJANDRO).

the author responsible for correspondence tasks has been RODRIGUEZ GONZALEZ, ALEJANDRO.