Literature DB >> 35230686

Computational Methods for Drug Repurposing.

Rosaria Valentina Rapicavoli1,2, Salvatore Alaimo2, Alfredo Ferro2, Alfredo Pulvirenti3.   

Abstract

The wealth of knowledge and multi-omics data available in drug research has allowed the rise of several computational methods in the drug discovery field, resulting in a novel and exciting strategy called drug repurposing. Drug repurposing consists in finding new applications for existing drugs. Numerous computational methods perform a high-level integration of different knowledge sources to facilitate the discovery of unknown mechanisms. In this chapter, we present a survey of data resources and computational tools available for drug repositioning.
© 2022. Springer Nature Switzerland AG.

Entities:  

Keywords:  3D structures; Biological pathways; Drug databases; Drug repositioning; Drug-target interaction prediction; Gene expression; Ligand similarity

Mesh:

Year:  2022        PMID: 35230686     DOI: 10.1007/978-3-030-91836-1_7

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  44 in total

1.  HitPick: a web server for hit identification and target prediction of chemical screenings.

Authors:  Xueping Liu; Ingo Vogt; Tanzeem Haque; Mónica Campillos
Journal:  Bioinformatics       Date:  2013-05-28       Impact factor: 6.937

2.  ChemMapper: a versatile web server for exploring pharmacology and chemical structure association based on molecular 3D similarity method.

Authors:  Jiayu Gong; Chaoqian Cai; Xiaofeng Liu; Xin Ku; Hualiang Jiang; Daqi Gao; Honglin Li
Journal:  Bioinformatics       Date:  2013-05-27       Impact factor: 6.937

3.  iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach.

Authors:  Xuan Xiao; Jian-Liang Min; Wei-Zhong Lin; Zi Liu; Xiang Cheng; Kuo-Chen Chou
Journal:  J Biomol Struct Dyn       Date:  2015-01-14

Review 4.  Web-based drug repurposing tools: a survey.

Authors:  Elizabeth Sam; Prashanth Athri
Journal:  Brief Bioinform       Date:  2019-01-18       Impact factor: 11.622

5.  Relating protein pharmacology by ligand chemistry.

Authors:  Michael J Keiser; Bryan L Roth; Blaine N Armbruster; Paul Ernsberger; John J Irwin; Brian K Shoichet
Journal:  Nat Biotechnol       Date:  2007-02       Impact factor: 54.908

Review 6.  Toward better drug repositioning: prioritizing and integrating existing methods into efficient pipelines.

Authors:  Guangxu Jin; Stephen T C Wong
Journal:  Drug Discov Today       Date:  2013-11-14       Impact factor: 7.851

7.  SuperPred: update on drug classification and target prediction.

Authors:  Janette Nickel; Bjoern-Oliver Gohlke; Jevgeni Erehman; Priyanka Banerjee; Wen Wei Rong; Andrean Goede; Mathias Dunkel; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2014-05-30       Impact factor: 16.971

8.  ChemProt-3.0: a global chemical biology diseases mapping.

Authors:  Jens Kringelum; Sonny Kim Kjaerulff; Søren Brunak; Ole Lund; Tudor I Oprea; Olivier Taboureau
Journal:  Database (Oxford)       Date:  2016-02-13       Impact factor: 3.451

9.  The polypharmacology browser: a web-based multi-fingerprint target prediction tool using ChEMBL bioactivity data.

Authors:  Mahendra Awale; Jean-Louis Reymond
Journal:  J Cheminform       Date:  2017-02-21       Impact factor: 5.514

10.  SAveRUNNER: an R-based tool for drug repurposing.

Authors:  Giulia Fiscon; Paola Paci
Journal:  BMC Bioinformatics       Date:  2021-03-23       Impact factor: 3.169

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  2 in total

1.  A New Approach to Drug Repurposing with Two-Stage Prediction, Machine Learning, and Unsupervised Clustering of Gene Expression.

Authors:  Yi Cong; Misaki Shintani; Fuga Imanari; Naoki Osada; Toshinori Endo
Journal:  OMICS       Date:  2022-06-03

2.  StarGazer: A Hybrid Intelligence Platform for Drug Target Prioritization and Digital Drug Repositioning Using Streamlit.

Authors:  Chiyun Lee; Junxia Lin; Andrzej Prokop; Vancheswaran Gopalakrishnan; Richard N Hanna; Eliseo Papa; Adrian Freeman; Saleha Patel; Wen Yu; Monika Huhn; Abdul-Saboor Sheikh; Keith Tan; Bret R Sellman; Taylor Cohen; Jonathan Mangion; Faisal M Khan; Yuriy Gusev; Khader Shameer
Journal:  Front Genet       Date:  2022-05-31       Impact factor: 4.772

  2 in total

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