Literature DB >> 31226485

Drug databases and their contributions to drug repurposing.

Yosef Masoudi-Sobhanzadeh1, Yadollah Omidi2, Massoud Amanlou3, Ali Masoudi-Nejad4.   

Abstract

Drug repurposing is an interesting field in the drug discovery scope because of reducing time and cost. It is also considered as an appropriate method for finding medications for orphan and rare diseases. Hence, many researchers have proposed novel methods based on databases which contain different information. Thus, a suitable organization of data which facilitates the repurposing applications and provides a tool or a web service can be beneficial. In this review, we categorize drug databases and discuss their advantages and disadvantages. Surprisingly, to the best of our knowledge, the importance and potential of databases in drug repurposing are yet to be emphasized. Indeed, the available databases can be divided into several groups based on data content, and different classes can be applied to find a new application of the existing drugs. Furthermore, we propose some suggestions for making databases more effective and popular in this field.
Copyright © 2019. Published by Elsevier Inc.

Keywords:  Data content; Database; Drug; Drug repositioning; Drug repurposing

Mesh:

Year:  2019        PMID: 31226485     DOI: 10.1016/j.ygeno.2019.06.021

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  17 in total

1.  DRPADC: A novel drug repositioning algorithm predicting adaptive drugs for COVID-19.

Authors:  Guobo Xie; Haojie Xu; Jianming Li; Guosheng Gu; Yuping Sun; Zhiyi Lin; Yinting Zhu; Weiming Wang; Youfu Wang; Jiang Shao
Journal:  Comput Chem Eng       Date:  2022-08-04       Impact factor: 4.130

Review 2.  Network for network concept offers new insights into host- SARS-CoV-2 protein interactions and potential novel targets for developing antiviral drugs.

Authors:  Neda Eskandarzade; Abozar Ghorbani; Samira Samarfard; Jose Diaz; Pietro H Guzzi; Niloofar Fariborzi; Ahmad Tahmasebi; Keramatollah Izadpanah
Journal:  Comput Biol Med       Date:  2022-04-30       Impact factor: 6.698

3.  Structure-based drug repurposing against COVID-19 and emerging infectious diseases: methods, resources and discoveries.

Authors:  Yosef Masoudi-Sobhanzadeh; Aysan Salemi; Mohammad M Pourseif; Behzad Jafari; Yadollah Omidi; Ali Masoudi-Nejad
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

Review 4.  Artificial Intelligence in Drug Discovery: A Comprehensive Review of Data-driven and Machine Learning Approaches.

Authors:  Hyunho Kim; Eunyoung Kim; Ingoo Lee; Bongsung Bae; Minsu Park; Hojung Nam
Journal:  Biotechnol Bioprocess Eng       Date:  2021-01-07       Impact factor: 3.386

5.  Computational Insights on the Potential of Some NSAIDs for Treating COVID-19: Priority Set and Lead Optimization.

Authors:  Ayman Abo Elmaaty; Mohammed I A Hamed; Muhammad I Ismail; Eslam B Elkaeed; Hamada S Abulkhair; Muhammad Khattab; Ahmed A Al-Karmalawy
Journal:  Molecules       Date:  2021-06-21       Impact factor: 4.411

6.  A Novel Metric to Quantify the Effect of Pathway Enrichment Evaluation With Respect to Biomedical Text-Mined Terms: Development and Feasibility Study.

Authors:  Xuan Qin; Xinzhi Yao; Jingbo Xia
Journal:  JMIR Med Inform       Date:  2021-06-18

Review 7.  Transformative dynamism in pharmaceutical and biomedical research: Complexity of integration of innovative R & D hubs.

Authors:  Yadollah Omidi; Hossein Omidian
Journal:  Bioimpacts       Date:  2021-02-24

8.  Knowledge-based structural models of SARS-CoV-2 proteins and their complexes with potential drugs.

Authors:  Atsushi Hijikata; Clara Shionyu-Mitsuyama; Setsu Nakae; Masafumi Shionyu; Motonori Ota; Shigehiko Kanaya; Tsuyoshi Shirai
Journal:  FEBS Lett       Date:  2020-05-25       Impact factor: 3.864

9.  A multimodal deep learning-based drug repurposing approach for treatment of COVID-19.

Authors:  Seyed Aghil Hooshmand; Mohadeseh Zarei Ghobadi; Seyyed Emad Hooshmand; Sadegh Azimzadeh Jamalkandi; Seyed Mehdi Alavi; Ali Masoudi-Nejad
Journal:  Mol Divers       Date:  2020-09-30       Impact factor: 3.364

Review 10.  Advances in the computational landscape for repurposed drugs against COVID-19.

Authors:  Illya Aronskyy; Yosef Masoudi-Sobhanzadeh; Antonio Cappuccio; Elena Zaslavsky
Journal:  Drug Discov Today       Date:  2021-07-30       Impact factor: 7.851

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